All Challenges

Here is an overview of all challenges that have been organized within the area of medical image analysis that we are aware of. If you know any study that would fit in this overview, or want to advertise your challenge, please send an email to support@grand-challenge.org and we will add the challenge to the list on this page.

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2019

aasce19 logo
AASCE
Accurate Automated Spinal Curvature Estimation
Participants
154
Results
321
Latest Result
20 hours ago
Associated with
MICCAI 2019
Hosted on
grand-challenge.org
LYSTO logo
Lymphocyte Assessment Hackathon
Lymphocyte Assessment Hackathon in conjunction with the MICCAI COMPAY 2019 Workshop on Computational Pathology
Participants
119
Associated with
COMPAY 2019
Hosted on
grand-challenge.org
odir2019 logo
ODIR-2019
北京大学国际眼底图像智能识别竞赛 Peking University International Competition on Ocular Disease Intelligent Recognition
Participants
951
Results
2
Latest Result
4 days, 8 hours ago
Hosted on
grand-challenge.org
DigestPath2019 logo
DigestPath2019
Welcome to Digestive-System Pathological Detection and Segmentation Challenge 2019. This competition is part of the MICCAI 2019 Challenge.
Participants
481
Associated with
MICCAI 2019
Hosted on
grand-challenge.org
StructSeg2019 logo
StructSeg2019
Welcome to Automatic Structure Segmentation for Radiotherapy Planning Challenge 2019. This competition is part of the MICCAI 2019 Challenge.
Participants
447
Associated with
MICCAI 2019
Hosted on
grand-challenge.org
AGE logo
AGE
ANGLE CLOSURE GLAUCOMA EVALUATION CHALLENGE
Participants
131
Results
76
Latest Result
an hour ago
Hosted on
grand-challenge.org
Gleason2019 logo
Gleason2019
MICCAI 2019 Automatic Prostate Gleason Grading Challenge: This challenge aims at the automatic Gleason grading of prostate cancer from H&E-stained histopathology images. This task is of critical importance because Gleason score is a strong prognostic …
Participants
74
Hosted on
grand-challenge.org
VerSe2019 logo
VerSe`19
Vertebrae labelling and segmentation on a spine dataset on an unprecedented 150 CT scans with voxel-level vertebral annotations.
Participants
471
Results
36
Latest Result
19 hours ago
Associated with
MICCAI 2019
Hosted on
grand-challenge.org
EndoVisSub2019-SCARED logo
Stereo Correspondence and …
Stereo Correspondence and Reconstruction of Endoscopic Data
Participants
141
Hosted on
grand-challenge.org
patchcamelyon logo
PatchCamelyon
PatchCamelyon is a new and challenging image classification dataset of 327.680 color images (96 x 96px) extracted from histopathology images of the CAMELYON16 challenge. The goal is to detect breast cancer metastasis in lymph nodes.
Participants
208
Results
79
Latest Result
3 weeks, 4 days ago
Hosted on
grand-challenge.org
curious2019 logo
curious2019
MICCAI Challenge 2019 for Correction of Brainshift with Intra-Operative Ultrasound. Taks 1: Register pre-operative MRI to iUS before tumor resection;Taks 2: Register iUS after tumor resection to iUS before tumor resection
Participants
116
Associated with
MICCAI 2019
Hosted on
grand-challenge.org
PAIP2019 logo
PAIP 2019
PAIP2019: Liver Cancer Segmentation Task 1: Liver Cancer Segmentation Task 2: Viable Tumor Burden Estimation
Participants
714
Results
18
Latest Result
8 hours ago
Associated with
MICCAI 2019
Hosted on
grand-challenge.org
KiTS19 logo
KiTS19
2019 Kidney and Kidney Tumor Segmentation Challenge
Participants
852
Associated with
MICCAI 2019
Hosted on
grand-challenge.org
PALM logo
PALM
The Pathologic Myopia Challenge (PALM) focuses on the investigation and development of algorithms associated with the diagnosis of Pathological Myopia (PM) and segmentation of lesions in fundus photos from PM patients.
Participants
426
Associated with
ISBI 2019
Hosted on
grand-challenge.org
ACDC-LungHP logo
ACDC-LungHP
Automatic Cancer Detection and Classification in Whole-slide Lung Histopathology
Participants
435
Results
484
Latest Result
1 month, 3 weeks ago
Associated with
ISBI 2019
Hosted on
grand-challenge.org
EAD2019 logo
EAD2019
Endoscopic Artefact Detection (EAD) is a core problem and needed for realising robust computer-assisted tools. The EAD challenge has 3 tasks: 1) Multi-class artefact detection, 2) Region segmentation, 3) Detection generalisation.
Participants
592
Results
1488
Latest Result
4 months, 3 weeks ago
Associated with
ISBI2019
Hosted on
grand-challenge.org
CHAOS logo
CHAOS
In this challenge, you segment the liver in CT data, and segment liver, spleen, and kidneys in MRI data.
Participants
1,397
Results
37
Latest Result
1 day, 2 hours ago
Associated with
ISBI 2019
Hosted on
grand-challenge.org
ANHIR logo
ANHIR
The challenge focuses on comparing the accuracy (using manually annotated landmarks) and the approximate speed of automatic non-linear registration methods for aligning microscopy images of multi-stained histology tissue samples.
Participants
321
Results
179
Latest Result
1 month, 1 week ago
Associated with
ISBI 2019
Article
https://www.researchgate.net/publication/325019076
Hosted on
grand-challenge.org
drive logo
DRIVE
Develop a system to automatically segment vessels in human retina fundus images.
Participants
636
Results
1718
Latest Result
1 day, 19 hours ago
Hosted on
grand-challenge.org
EndoVis logo
EndoVis
As an endoscopic vision CAI challenge at MICCAI, our aim is to provide a formal framework for evaluating the current state of the art, gather researchers in the field and provide high quality data with …
Workshop
Oct. 13, 2019
Associated with
MICCAI 2019
Hosted on
grand-challenge.org
APTOS2019 logo
APTOS 2019 Blindness …
You'll build a machine learning model to detect diabetic retinopathy from thousands of fundus images collected in rural areas by Aravind Eye Hospital in India.
Hosted on
kaggle.com
SIIMACRPneumothorax19 logo
Pneumothorax Segmentation
Develop a model to classify (and if present, segment) pneumothorax from a set of chest radiographic images.
Workshop
Sept. 22, 2019
Associated with
SIIM CMIMI Conference 2019
Hosted on
kaggle.com
ISIC2019 logo
ISIC2019
Skin Lesion Analysis Towards Melanoma Detection
Workshop
Oct. 13, 2019
Associated with
MICCAI 2019
Hosted on
isic-archive.com
RT-MAC logo
RT-MAC
A platform for comparison of various auto-segmentation algorithms when they are used to delineate organs at risk (OARs) or tumors from MR images for head and neck patients for radiation treatment planning
Associated with
AAPM 2019
Hosted on
cloudapp.net
CTVIE19 logo
CTVIE19
Determine which CT ventilation imaging algorithms best correlate with reference measures across a range of pulmonary pathologies.
Associated with
2019 AAPM Annual Meeting
Hosted on
cloudapp.net
CheXpert logo
CheXpert
Develop an algorithm to determine the presence of 14 different abnormalities given a chest radiograph.
Article
https://arxiv.org/abs/1901.07031
Hosted on
github.io
SegTHOR logo
SegTHOR
Segmentation of THoracic Organs at Risk in CT images
Associated with
ISBI 2019
Hosted on
codalab.org
ABCD logo
ABCD
Predicting fluid intelligence from T1-weighed MRI (11K subjects in total, age 9-10 years). The data of about 4k individuals will be provided for training.
Hosted on
sri.com
BreastPathQ logo
BreastPathQ: Cancer Cellularity …
Develop an automated method for analyzing histology patches extracted from whole slide images and assign a score reflecting cancer cellularity for tumor burden assessment in each.
Associated with
SPIE Medical Imaging
Hosted on
cloudapp.net
ALL-Challenge logo
B-ALL Classification of …
A dataset of cells with labels (normal versus malignant) will be provided to train machine learning based classifier to identify normal cells from leukemic blasts (malignant cells).
Associated with
ISBI 2019
Hosted on
codalab.org
CTC19 logo
CTC19
The Cell Tracking Challenge (CTC) was launched in 2012 to objectively compare and evaluate state-of-the-art whole-cell and nucleus segmentation and tracking methods. We are launching now a new time-lapse cell segmentation benchmark on the same …
Associated with
ISBI 2019, 2015, 2014, 2013
Article
Nature Methods
Hosted on
celltrackingchallenge.net

2018

AMD logo
iChallenge-AMD
Age-related Macular Degeneration Challenge
Participants
56
Hosted on
grand-challenge.org
Decathlon-10 logo
Decathlon
The Medical Segmentation Decathlon challenge tests the generalisability of machine learning algorithms when applied to 10 different semantic segmentation task.
Participants
281
Results
26
Latest Result
4 days, 12 hours ago
Hosted on
grand-challenge.org
iChallenges logo
iChallenges
We organized a serial of challenges on different eye image modalities, such as REFUGE, PALM, RETOUCH, etc.
Hosted on
grand-challenge.org
HC18 logo
HC18
Automated measurement of fetal head circumference using 2D ultrasound images
Participants
389
Results
990
Latest Result
14 hours ago
Hosted on
grand-challenge.org
PROSTATEx logo
PROSTATEx
Classification of clinical significance of prostate lesions using multi-parametric MRI data
Participants
411
Results
1133
Latest Result
3 days, 6 hours ago
Hosted on
grand-challenge.org
PAVES logo
PAVES
Peripheral Artery:Vein Enhanced Segmentation (PAVES) is the challenge focussed on providing easily interpretable and relevant images that can be readily understood by clinicians (vascular interventional radiologists & vascular surgeons) from MRA datasets where the venous …
Participants
267
Associated with
SMRA
Hosted on
grand-challenge.org
MoNuSeg logo
MoNuSeg
MICCAI 2018 challenge for Multi-organ nuclei segmentation from H&E stained histopathological images.
Participants
213
Associated with
MICCAI 2018 Satellite Events- Challenges
Hosted on
grand-challenge.org
REFUGE logo
REFUGE
The goal of the Retinal Fundus Glaucoma Challenge (REFUGE) is to evaluate and compare automated algorithms for glaucoma detection and optic disc/cup segmentation on a common dataset of retinal fundus images.
Participants
467
Associated with
MICCAI 2018
Hosted on
grand-challenge.org
curious2018 logo
CuRIOUS 2018
MICCAI Challenge 2018 for Correction of Brainshift with Intra-Operative Ultrasound
Participants
35
Associated with
MICCAI 2018
Hosted on
grand-challenge.org
continuousregistration logo
Continuous Registration
Submit your method for lung and brain registration on https://github.com/SuperElastix/SuperElastix! Your method is easily accessible to end-users and automatically compiled, tested, and benchmarked weekly on several different data sets.
Associated with
WBIR2018
Hosted on
grand-challenge.org
LUMIC logo
LUMIC
The LUMIC challenge tests the accuracy in registration between pre- and post-contrast CT chest images for algorithms, using an anthropomophic digital phantom.
Participants
345
Hosted on
grand-challenge.org
IDRiD logo
IDRiD
This challenge evaluates automated techniques for analysis of fundus photographs. We target segmentation of retinal lesions like exudates, microaneurysms, and hemorrhages and detection of the optic disc and fovea. Also, we seek grading of fundus …
Participants
1,685
Associated with
ISBI 2018
Hosted on
grand-challenge.org
ICIAR2018-Challenge logo
ICIAR 2018
Can you develop a method for automatic detection of cancerous regions in breast cancer histology images?
Participants
1,690
Results
1501
Latest Result
an hour ago
Associated with
ICIAR 2018
Article
Medical Image Analysis
Hosted on
grand-challenge.org
fastMRI logo
fastMRI
fastMRI is collaborative research project from Facebook AI Research (FAIR) and NYU Langone Health to investigate the use of AI to make MRI scans up to 10 times faster. Details coming soon.
Hosted on
fastmri.org
MURA logo
MURA
MURA (musculoskeletal radiographs) is a large dataset of bone X-rays. Algorithms are tasked with determining whether an X-ray study is normal or abnormal.
Hosted on
github.io
rsnapneumonia18 logo
RSNA Pneumonia Detection …
Automatically detect a visual signal for pneumonia in chest x-rays.
Hosted on
kaggle.com
imagecleftb18 logo
ImageCLEF TB
Assess the probability of a TB patient having resistant form of tuberculosis based on the analysis of chest CT scan, automatically categorize each TB case into one of the following five types: (1) Infiltrative, (2) …
Associated with
Clef18
Article
CLEF2018 Working Notes,{CEUR} Workshop Proceedings
Hosted on
imageclef.org
MUSHAC logo
Multi-shell diffusion MRI …
The aim of the challenge is the systematic evaluation of the performance of algorithms that enable the harmonisation of muti-shell DW MRI data from clinically available Siemens Prisma Scanner and the state-of-the-art Siemens Connectome Scanner. …
Associated with
MICCAI 2018
Hosted on
harvard.edu
ISIC logo
Dermoscopic Skin Lesion …
The goal of this recurring challenge is to help participants develop image analysis tools to enable the automated diagnosis of melanoma from dermoscopic images. There are three separate tasks: lesion segmentation, lesion attribute detection and …
Associated with
MICCAI 2018
Hosted on
isic-archive.com
IVDM3Seg logo
Intervertebral Disc Segmentation …
The goal of MICCAI 2018 Challenge on Automatic IVD Localization and Segmentation from 3D Multi-modality MR (M3) Images is to investigate (semi-)automatic IVD localization and segmentation algorithms and provide a standard evaluation framework with a …
Associated with
MICCAI 2018
Hosted on
weebly.com
MRBrainS18 logo
MR Brain Image …
The purpose of this challenge is to directly compare methods for segmentation of gray matter, white matter, cerebrospinal fluid, and other structures on 3T MRI scans of the brain, and to assess the effect of …
Associated with
MICCAI 2018
Hosted on
uu.nl
petrad18 logo
18F-FDG PET Radiomics …
Contestants are tasked to predict, using primary tumor 18F-FDG PET-derived radiomics features +/- matched clinical data, whether a tumor arising from the oropharynx will be controlled by definitive radiation treatment (RT).
Associated with
MICCAI 2018
Hosted on
cloudapp.net
3DVoTEM logo
3-D Validation of …
This challenge addresses the validation of 3D diffusion MRI fiber tractography. The task is to provide the most accurate reconstruction of fiber pathways in both a physical phantom and real brain tissue.
Associated with
ISBI 2018
Hosted on
vanderbilt.edu
dsb18 logo
Data Science Bowl …
Create an algorithm to automate nucleus detection from a variety of brightfield and fluorescence images.
Hosted on
kaggle.com
segnuc18 logo
Digital Pathology: Segmentation …
Detect and segment all the nuclear material in a given set of image tiles extracted from whole slide tissue images.
Associated with
MICCAI2018
Hosted on
cloudapp.net
pancsp18 logo
Pancreatic Cancer Survival …
Predict overall survival based on predictors derived from contrast-enhanced liver CT scans and patient clinical variables.
Associated with
MICCAI 2018
Hosted on
cloudapp.net
ISLES2018 logo
Ischemic Stroke Lesion …
ISLES 2018 asks for methods that allow the segmentation of stroke lesions based on acute CT perfusion data. A data set of 103 stroke patients and matching expert segmentations are provided.
Associated with
MICCAI 2018
Hosted on
isles-challenge.org
BRATS18 logo
Brain Tumor Image …
BraTS 2018 utilizes multi-institutional pre-operative MRI scans and focuses on the segmentation of intrinsically heterogeneous (in appearance, shape, and histology) brain tumors, namely gliomas. Furthemore, to pinpoint the clinical relevance of this segmentation task, BraTS’18 …
Associated with
MICCAI 2018
Hosted on
upenn.edu
CRCP logo
Combined Radiology and …
Classify a cohort of lower grade glioma tumor cases into two sub-types: Oligodendroglioma and Astrocytoma when information from two types of imaging data – Radiology images and Pathology images – is used.
Associated with
MICCAI 2018
Hosted on
cloudapp.net

2017

EMPIRE10 logo
EMPIRE10
Challenge for intra-subject registration of chest CT images.
Participants
23
Article
IEEE Transactions on Medical Imaging
Hosted on
grand-challenge.org
ROCC logo
ROCC
Retinal OCT Classification Challenge (ROCC) is organized as a one day Challenge in conjunction with MVIP2017. The goal of this challenge is to call different automated algorithms that are able to detect DR disease from …
Participants
281
Associated with
MVIP 2017
Hosted on
grand-challenge.org
TADPOLE logo
TADPOLE
The Alzheimer’s Disease Prediction Of Longitudinal Evolution (TADPOLE) challenge is brought to you by the EuroPOND consortium in collaboration with the Alzheimer’s Disease Neuroimaging Initiative (ADNI).
Participants
173
Article
arXiv
Hosted on
grand-challenge.org
CATARACTS logo
CATARACTS
The Challenge on Automatic Tool Annotation for cataRACT Surgery aims at evaluating image-based tool detection algorithms in the context of the most common surgical procedure in the world.
Participants
281
Article
Med Image Anal
Hosted on
grand-challenge.org
RETOUCH logo
RETOUCH
Retinal OCT Fluid Challenge (RETOUCH) compares automated algorithms that are able to detect and segment different types of retinal fluid in optical coherence tomography (OCT).
Participants
74
Associated with
MICCAI 2017
Hosted on
grand-challenge.org
CAMELYON17 logo
CAMELYON17
Automated detection and classification of breast cancer metastases in whole-slide images of histological lymph node sections. This task has high clinical relevance and would normally require extensive microscopic assessment by pathologists.
Participants
1,343
Results
86
Latest Result
2 weeks, 5 days ago
Associated with
ISBI 2017
Article
IEEE Trans Med Imaging
Hosted on
grand-challenge.org
imagecleftb17 logo
ImageCLEF Tuberculosis 2017
Assess the probability of a TB patient having resistant form of tuberculosis based on the analysis of chest CT scan, and automatically categorize each TB case into one of the following five types: Infiltrative, Focal, …
Associated with
Clef2017
Article
CLEF2017 Working Notes, {CEUR} Workshop Proceedings
Hosted on
imageclef.org
DSB17 logo
Data Science Bowl …
Can you improve the detection of lung cancer? Given a CT scan, predict if someone has lung cancer. The 2017 Data Science Bowl has $1 million in prizes.
Associated with
DSB 2017
Hosted on
kaggle.com
CCS logo
Cervical Cancer Screening
Develop an algorithm which accurately identifies a woman’s cervix type from images. Doing so will prevent ineffectual treatments and helps referral for cases that require more advanced treatment.
Associated with
Kaggle
Hosted on
kaggle.com
TraCED logo
TraCED
The goal of TraCED is to assess the reproducibility of common and emerging fiber tracking pipelines/algorithms using clinically feasible MR imaging sequences.
Associated with
ISMRM 2017
Article
Journal of Magnetic Resonance Imaging
Hosted on
vanderbilt.edu
LiTS logo
LiTS - Liver …
We encourage researchers to develop automatic segmentation algorithms to segment liver lesions in contrast-enhanced abdomen CT scans. The data and segmentations are provided by various clinical sites around the world.
Associated with
MICCAI 2017
Hosted on
codalab.org
ENIGMA logo
ENIGMA Cerebellum
This challenge investigates progress in cerebellum lobule segmentation and labeling, structured around three MRI datasets.
Associated with
MICCAI 2017
Hosted on
vanderbilt.edu
iSeg-2017 logo
6-month infant brain …
iSeg-2017 compares (semi-)automatic algorithms for the segmentation of 6-month infant brain tissues and the measurement of corresponding structures using T1- and T2-weighted brain MRI scans.
Associated with
MICCAI 2017
Hosted on
unc.edu
BRATS17 logo
Brain Tumor Image …
BraTS 2017 utilizes multi‐institutional pre‐operative MRI scans and focuses on the segmentation of intrinsically heterogeneous (in appearance, shape, and histology) brain tumors, namely gliomas. Furthermore, in order to pinpoint the clinical relevance of this segmentation …
Associated with
MICCAI 2017
Hosted on
upenn.edu
PBAC logo
Pediatric Bone Age …
Develop an algorithm which can most accurately determine skeletal age on a validation set of pediatric hand radiographs, using a large data set of over 12,000 images.
Associated with
RSNA 2017
Hosted on
cloudapp.net
TMATC logo
Tissue Microarray Analysis …
Tissue microarrays (TMAs) can provide new biomarkers that could be of value in diagnosis, predicting outcome and response to therapy. Goal of this challenge is to build predictions models for thyroid cancer from TMAs.
Associated with
ISBI 2017
Hosted on
ntust.edu.tw
ISLES2017 logo
Ischemic Stroke Lesion …
ISLES 2017 asks for methods that predict stroke lesion outcome based on acute MRI data. A multi-spectral data set of 48 stroke patients and matching expert segmentations are provided.
Associated with
MICCAI 2017
Hosted on
isles-challenge.org
mmwhs17 logo
Multi-Modality Whole Heart …
Develop an algorithm for multi-modality whole heart segmentation from cardiac CT and MRI images.
Associated with
MICCAI 2017
Hosted on
fudan.edu.cn
ISIC2017 logo
Skin Lesion Analysis …
Segment, analyze and diagnose skin cancer from dermoscopic images provided by the International Skin Imaging Collaboration.
Associated with
ISBI 2017
Hosted on
kitware.com
acdc17 logo
ACDC
Develop an algorithm for MRI cardiac segmentation AND/OR predict pathology of different patients given cardiac MRI images.
Associated with
MICCAI2017
Article
IEEE Trans Med Imaging
Hosted on
insa-lyon.fr
WMH2017 logo
WMH Segmentation Challenge
This challenge directly compares methods for the automatic segmentation of white matter hyperintensities of presumed vascular origin from FLAIR and T1-weighted MR images.
Associated with
MICCAI 2017
Hosted on
uu.nl
CoronARe logo
Coronary Artery Reconstruction …
CoronARe compares state-of-the-art methods in terms of 3D reconstruction accuracy of coronary arteries from interventional C-arm rotational angiography.
Associated with
MICCAI 2017
Hosted on
kitware.com

2016

LUNA16 logo
LUNA16
The LUNA16 challenge will focus on a large-scale evaluation of automatic nodule detection algorithms for chest CT.
Participants
7,653
Associated with
ISBI 2016
Article
Medical Image Analysis
Hosted on
grand-challenge.org
ISBI-AIDA logo
ISBI-AIDA
ISBI Endoscopic Image Challenge
Associated with
The IEEE International Symposium on Biomedical Imaging (ISBI)
Hosted on
grand-challenge.org
CAMELYON16 logo
CAMELYON16
The goal of this challenge is to evaluate new and existing algorithms for automated detection of cancer metastasis in digitized lymph node tissue sections. Two large datasets from both the Radboud University Medical Center and …
Participants
390
Associated with
ISBI 2016
Article
JAMA
Hosted on
grand-challenge.org
KaggleCardiacMRI logo
Kaggle: Second Annual …
Declining cardiac function is a key indicator of heart disease. The 2015 Data Science Bowl challenges you to create an algorithm to automatically measure end-systolic and end-diastolic volumes in cardiac MRIs.
Hosted on
kaggle.com
UltraNerveSegt16 logo
Ultrasound Nerve Segmentation
Identify nerve structures in ultrasound images of the neck. The task in this competition is to segment a collection of nerves called the Brachial Plexus (BP) in ultrasound images.
Associated with
Kaggle 2016
Hosted on
kaggle.com
ICLEF16 logo
ImageCLEFmed: Medical Task …
ImageCLEFmed 2016 consist of two tasks: analyze compound figures of the biomedical literature and provide a hierarchical classification of body parts in bone x-ray images.
Associated with
CLEF2016
Hosted on
imageclef.org
TUPAC16 logo
Tumor Proliferation Assessment …
Evaluate methods that predict the tumor proliferation score directly from whole-slide images.
Associated with
MICCAI 2016
Article
arXiv
Hosted on
tue-image.nl
CVII-STENT16 logo
Computing and Visualization …
This workshop brings together two MICCAI-­Workshop series (CVII and STENT) in order to form a common event on technological and scientific research concerned with endovascular procedures.
Associated with
MICCAI 2016
Hosted on
tum.de
SMLMS16 logo
Single Molecule Localization …
Focus on two key unaddressed areas in the field of localisation microscopy: 3D and Ultra High-density 2D intended for live cell applications.
Associated with
SMLMS 2016
Hosted on
epfl.ch
mTOP16 logo
Mild Traumatic Brain …
Its aim is to create a common ground to compare methods to find predictive MRI features, which help to characterise and distinguish mild traumatic brain injury patients from each other and healthy subjects.
Associated with
MICCAI 2016
Hosted on
wordpress.com
HVSMR2016 logo
HVSMR 2016
This challenge is about segmenting the blood pool and myocardium from a 3D cardiovascular magnetic resonance images.
Associated with
MICCAI 2016
Hosted on
mit.edu
LDCT16 logo
Low Dose CT …
Quantitatively assess the diagnostic performance of denoising and iterative reconstruction techniques on common low-dose patient CT datasets using a detection task.
Associated with
Annual Meeting of the American Association of Physicists in Medicine (AAPM)
Hosted on
aapm.org
xVertSegt16 logo
xVertSegt
The tasks of the xVertSeg challenge are: To segment vertebrae from the given spine images that include fractured and non-fractured cases. To classify vertebrae from the given spine images into fractured and non-fractured cases along …
Associated with
MICCAI 2016
Hosted on
uni-lj.si
BigNeuron logo
BigNeuron
BigNeuron is a community effort to define and advance state-of-the-art of single neuron reconstruction: an essential unsolved challenge in brain science.
Hosted on
alleninstitute.org
STACOM-SLAWT16 logo
Statistical Atlases and …
This challenge focuses on algorithms for segmentation of left atrial wall thickness from MRI and CT.
Associated with
MICCAI 2016
Hosted on
ic.ac.uk
PETSEG16 logo
Positron Emission Tomography …
Automated segmentation of PET images for the delineation of tumor volumes
Associated with
MICCAI 2016
Hosted on
irisa.fr
DMDream logo
Digital Mammography DREAM …
Develop algorithms to classify screening digital mammography images as low and high risk for developing cancer. Thousands of digitized mammograms and outcome data are available for training.
Hosted on
synapse.org
M2CAI16 logo
Modeling and Monitoring …
To develop a surgical workflow monitoring system by detecting both the surgical workflow and identifying all surgical tools that are present in an image.
Associated with
MICCAI 2016
Hosted on
u-strasbg.fr
CSI16 logo
Computational Methods & …
Automatic Intervertebral Disc Localization and Segmentation from 3D Multi-modality MR (M3) Images.
Associated with
MICCAI 2016
Hosted on
wordpress.com
MSSEG16 logo
Multiple Sclerosis Segmentation …
MS lesions segmentation as part of the effort towards automatic segmentation of MRI scans of MS patients.
Associated with
MICCAI 2016
Hosted on
irisa.fr
CREMI16 logo
Circuit Reconstruction from …
The goal of this challenge is to evaluate algorithms for automatic reconstruction of neurons and neuronal connectivity from serial section electron microscopy data.
Associated with
MICCAI 2016
Hosted on
cremi.org
ISLES2016 logo
Ischemic Stroke Lesion …
The ISLES 2016 challenge treats the challenging problem of stroke lesion/clinical outcome prediction from acute MRI scans. They provide acute MRI scans of a large number of acute stroke cases and associated clinical parameters. The …
Associated with
MICCAI 2016
Hosted on
isles-challenge.org
BRATS16 logo
Brain Tumor Image …
Multimodal Brain Tumor Segmentation (BraTS), making available a large dataset of brain tumor MR scans in which the relevant tumor structures have been delineated.
Associated with
MICCAI 2016
Hosted on
google.com

2015

MAL15 logo
Multi-Atlas Labeling Beyond …
Evaluates multi-atlas segmentation algorithms on a newly created and released standardized dataset of abdominal and pelvic anatomy on clinically acquired CT
Associated with
MICCAI 2015
Hosted on
synapse.org
GlaS logo
Gland Segmentation Challenge
Gland morphology is used to assess the degree of malignancy of several adenocarcinomas, including prostate, breast, lung, and colon. This challenge evaluates gland segmentation algorithms on images of H&E stained slides, consisting of a variety …
Associated with
MICCAI 2015
Article
Med Imag Anal
Hosted on
warwick.ac.uk
MS15 logo
Longitudinal Multiple Sclerosis …
Competing teams will apply their automatic lesion segmentation algorithms to MR neuroimaging data acquired at multiple time points from MS patients. Algorithms will be evaluated against manual segmentations from multiple raters in terms of their …
Associated with
ISBI 2015
Article
NeuroImage
Hosted on
jhu.edu
WMM15 logo
White Matter Modelling …
Aims to identify the mathematical model for diffusion MRI that best describes the signal from in-vivo Human Brain White Matter acquired on the Connectom scanner with gradients of up to 300mT/m.
Associated with
ISBI 2015
Hosted on
ucl.ac.uk
ICLEF15 logo
ImageCLEFmed: Medical classification
A task targeted at the identification, multi-label classifcation and separation of compound figures from biomedical literature.
Associated with
ImageCLEFmed
Article
https://pdfs.semanticscholar.org/0c9e/97b77d1c6762e3c5d7c45d04c7c92f68f800.pdf
Hosted on
imageclef.org
HAN15 logo
Head and Neck …
Benchmarks automatic segmentation performance. Provides 25 CT images with manually delineated data of brainstem, mandible, left and right optic nerves, optic chiasm, left and right parotid glands and submandibular glands.
Associated with
MICCAI 2015
Hosted on
imagenglab.com
CXI15 logo
Cephalometric X-ray image …
Benchmarks automated detection and statistical analysis on cephalometric x-ray images of 400 patients.
Associated with
ISBI 2015
Hosted on
ntust.edu.tw
LUNGx logo
Lung nodule classification …
Evaluates quantitative image-analysis methods for the diagnostic classification of malignant and benign lung nodules. Training set to be released November 21st.
Associated with
SPIE MI 2015
Article
Journal of Medical Imaging
Hosted on
cancerimagingarchive.net
BRCD15 logo
Bitewing Radiography Caries …
Investigates automated methods for detection of caries in 120 bitewing X-ray images collected from 120 patients.
Associated with
ISBI 2015
Hosted on
ntust.edu.tw
CSI2015 logo
MICCAI Spine Workshop …
The first challenge concerns vertebral fracture analysis, the second challenge is on intervertebral disc localization and segmentation.
Associated with
MICCAI 2015
Hosted on
weebly.com
OCCIS15 logo
The Second Overlapping …
Investigates cell detection and cell segmentation for the automated analysis of multi-layer cytology volumes.
Associated with
ISBI 2015
Hosted on
adelaide.edu.au
ANATOMY3 logo
ANATOMY3
The VISCERAL Anatomy3 challenge is a continuation and extension of two earlier challenges on whole-body labelling in 3D medical images. Its goal is the segmentation of abdominal organs and the localization of anatomical landmarks.
Associated with
ISBI 2015
Article
IEEE Trans Med Imaging
Hosted on
visceral.eu
ISMRM15 logo
ISMRM 2015 Tractography …
This challenge evaluates and compares tractography pipelines: provide the best possible reconstruction of fiber pathways in a realistically simulated whole brain diffusion-weighted MR image.
Associated with
ISMRM 2015
Article
bioRxiv
Hosted on
tractometer.org
CLUST15 logo
Liver Ultrasound Tracking …
Presents the current state-of-the-art in automated tracking of anatomical landmarks in the liver and compares different methods
Associated with
MICCAI 2015
Hosted on
ethz.ch
SHAPE15 logo
Shape 2015 - …
The task is to complete 10 partial liver segmentation from a set of segmented training datasets.
Associated with
Shape 2015
Hosted on
virtualskeleton.ch
ISLES2015 logo
Ischemic Stroke Lesion …
ISLES 2015 is a two-task challenge of automatic methods for sub-acute ischemic stroke lesion segmentation and acute stroke penumbra estimation. Versatile multi-center data, two expert segmentations and extensive automatized evaluation.
Associated with
MICCAI 2015
Hosted on
isles-challenge.org
NBLF15 logo
Noninvasive Biomarkers for …
Requires only a written proposal describing specific and sensitive biomarker(s) that are highly associated with liver fibrosis and could be used as a surrogate for clinical efficacy and ideally, could guide treatment selection.
Associated with
Innocentive
Hosted on
innocentive.com
NEATBRAINS15 logo
NEATBrainS15
Evaluates and investigates automated segmentation of gray matter, white matter and cerebrospinal fluid on both the NeoBrainS12 and MRBrainS13 datasets.
Associated with
ISBI 2015
Hosted on
uu.nl
BRATS15 logo
Brain Tumor Image …
Multimodal Brain Tumor Segmentation (BraTS), making available a large dataset of brain tumor MR scans in which the relevant tumor structures have been delineated. Each data set has T1 MRI, T1 contrast-enhanced MRI, T2 MRI, …
Associated with
MICCAI 2015
Article
https://www.springer.com/gp/book/9783319555232
Hosted on
google.com
KaggleDRD logo
Kaggle: Diabetic Retinopathy …
Identify signs of diabetic retinopathy in eye images. This Kaggle competition offers 100,000 dollars in prize awards.
Hosted on
kaggle.com

2014

MITOS-ATYPIA-14 logo
MITOS-ATYPIA-14
MITOS & ATYPIA 14 Contest, hosted by conference ICPR 2014 Detection of mitosis and evaluation of nuclear atypia on breast cancer H&E stained images
Participants
232
Associated with
ICPR 2014
Hosted on
grand-challenge.org
CADDementia logo
CADDementia
We seek algorithms that perform multi-class classification of patients with Alzheimer’s disease (AD), patients with mild cognitive impairment (MCI) and healthy controls (CN) using multi-center structural MRI data.
Participants
129
Associated with
MICCAI 2014
Article
NeuroImage
Hosted on
grand-challenge.org
3DDM14 logo
3D Deconvolution Microscopy
Deconvolution is one of the most common image-reconstruction tasks in 3D fluorescence microscopy. This challenge benchmarks existing deconvolution algorithms and to stimulate the community to look for novel, global and practical approaches to this problem.
Associated with
ISBI 2014
Hosted on
epfl.ch
VISCERALB2 logo
VISCERAL Benchmark 2
In this benchmark we will evaluate segmentation and detection algorithms on a large dataset of clinical wide-field-of-view MRI and CT scans. Major organs and substructures have been manually delineated, and anatomical interest points or landmarks …
Associated with
ISBI 2014
Hosted on
visceral.eu
CTC14 logo
Cell Tracking Challenge …
This challenge compares and evaluate state-of-the-art whole-cell and nucleus tracking methods using both real and artificial 2D and 3D time-lapse microscopy videos of fluorescently labeled cells and nuclei moving in realistic environments.
Associated with
ISBI 2014
Hosted on
codesolorzano.com
SVS14 logo
Spine and Vertebra …
Provides a database of 10 spine CT scans along with manual segmentation of the thoracic and lumbar vertebrae for development, training and testing of spine segmentation algorithms. Five more data sets will be provided for …
Associated with
MICCAI Workshop on Computational Spine Imaging 2014
Hosted on
digitalimaginggroup.ca
CXLD14 logo
Cephalometric X-Ray Landmark …
The goal of this challenge is to investigate a suitable automatic landmark detection technology for cephalometric x-ray images and provide a standard evaluation framework with a clinical dataset.
Associated with
ISBI 2014
Hosted on
ntust.edu.tw
MLC14 logo
MICCAI 2014 Machine …
Machine-learning practitioners can try out their favorite (novel or not) supervised learning algorithm(s) on brain imaging (neuroimaging) data for clinically relevant prediction problems.
Associated with
MICCAI 2014
Hosted on
harvard.edu
OCCIS14 logo
Overlapping Cervical Cytology …
Detection and segmentation of overlapping cells is a major hurdle for robust cervical cell analysis. In this challenge, the targets are to extract the boundaries of individual cytoplasm and nucleus from Pap smear microscopy images.
Associated with
ISBI 2014
Hosted on
adelaide.edu.au
VISCERALLDB14 logo
VISCERALdetection - Lesion …
The objective is to detect various lesions in anatomical regions such as the bones, liver, brain, lung, or lymph nodes in CT and MR volumes. There are overall 308 annotated lesions annotated through medical experts.
Hosted on
visceral.eu
CLUST14 logo
CLUST14
This challenge presents the current state-of-the-art in automated tracking of anatomical landmarks in liver ultrasound images and compare different methods.
Associated with
MICCAI 2014
Hosted on
ethz.ch
CETUS14 logo
CETUS
This challenge compares left ventricle segmentation methods for both End Diastolic and End Systolic phase instances in 3D cardiac ultrasound.
Associated with
MICCAI 2014
Hosted on
insa-lyon.fr
SHAPE14 logo
Shape 2014 - …
The Shape Symposium hosts the first Grand Challenge in Statistical Shape Modeling. The task is to build a model of the liver from a set of segmented training datasets.
Associated with
Shape 2014
Hosted on
virtualskeleton.ch
LSAT14 logo
Liver CT Annotation …
The Liver CT Annotation Task targets automatic annotation of 3D liver CT data by filling a form of imaging observations at the liver, vessel and lesion levels. The form is built based on a novel …
Associated with
imageCLEF2014
Hosted on
imageclef.org
ORCASCORE14 logo
orCaScore
The orCaScore challenge compares methods for automatic and semi-automatic coronary artery calcium scoring in cardiac CT scans.
Associated with
MICCAI 2014
Article
Medical Physics
Hosted on
uu.nl
BTCC14 logo
Bone Texture Characterization
The evaluation of osteoporotic disease from bone radiograph images presents a major challenge for pattern recognition and medical applications. The goal is to identify osteoporotic cases from healthy controls on 2D bone radiograph images, using …
Associated with
ISBI 2014
Hosted on
univ-orleans.fr
DTITRAC14 logo
DTI Tractography Challenge
This workshop evaluates the performances of tractography algorithms in the reconstruction of peritumoral anatomy and corticospinal tract trajectory on pre-operative and post-operative diffusion data from patients with tumors in or near the motor system.
Associated with
MICCAI 2014
Hosted on
dti-challenge.org
BRATS14 logo
Brain Tumor Image …
Multimodal Brain Tumor Segmentation (BraTS). It contains three sub-challenges. 1: Segmentation of brain tumor (GBM) and its components, 2: Longitudinal Evaluation of time series image data and 3: Classification into Low- and and High Grade …
Associated with
MICCAI 2014
Article
https://ieeexplore.ieee.org/document/6975210/
Hosted on
google.com

2013

CRASS logo
CRASS
CRASS stands for Chest Radiograph Anatomical Structure Segmentation. The challenge currently invites participants to send in results for clavicle segmentation algorithms.
Participants
245
Hosted on
grand-challenge.org
subsolidNodules logo
Subsolid Nodules
We are presenting results of our segmentation method for subsolid lung nodules.
Hosted on
grand-challenge.org
VISCERALB1 logo
VISCERAL Benchmark 1
VISCERAL is an EU funded project in which various benchmarks are organized. The first Benchmark focuses on whole body labelling in 3D medical imaging data.
Associated with
MICCAI 2013
Hosted on
visceral.eu
MBRAINS13 logo
MR Brain Image …
The MRBrainS evaluation framework compares algorithms for segmentation of grey matter, white matter and cerebrospinal fluid on multi-sequence (T1-weighted, T1-weighted inversion recovery and FLAIR) 3 Tesla MRI scans of the brain.
Associated with
MICCAI 2013
Hosted on
uu.nl
CADPE13 logo
Computer Aided Detection …
Associated with
ISBI 2013
Hosted on
cad-pe.org
DTITRAC13 logo
MICCAI 2013 DTI …
Associated with
MICCAI 2013
Hosted on
dti-challenge.org
CTC13 logo
Cell Tracking Challenge …
Manually tracking cells is an extremely laborious task, due to the large amount of image data acquired during live-cell studies. This challenge compares automatic approaches for cell tracking.
Associated with
ISBI 2013
Article
Bioinformatics
Hosted on
codesolorzano.com
HARDI13 logo
HARDI reconstruction challenge …
Associated with
ISBI 2013
Hosted on
epfl.ch
ASPS13 logo
ASPS13
Automated Segmentation of Prostate Structures (ASPS)
Associated with
MICCAI 2013
Hosted on
cancerimagingarchive.net
3DDM13 logo
3D Deconvolution Microscopy
The aim of this challenge is to benchmark existing deconvolution algorithms and to stimulate the community to look for novel, global and practical approaches to this problem.
Associated with
ISBI 2013
Hosted on
epfl.ch
LMC13 logo
Localization Microscopy Challenge
Associated with
ISBI 2013
Hosted on
epfl.ch
BRATS13 logo
Brain Tumor Image …
Multimodal Brain Tumor Segmentation (BraTS), making available a large dataset of brain tumor MRscans in which the tumor and edema regions have been manually delineated,adding another 20 multimodal image volume from high and low grade …
Associated with
MICCAI 2013
Article
IEEE Trans Med Imaging
Hosted on
codalab.org
3DSNEMI13 logo
3D Segmentation of …
Associated with
ISBI 2013
Article
Front. Neuroanat.
Hosted on
mit.edu

2012

PROMISE12 logo
PROMISE12
The goal of this challenge is to compare interactive and (semi)-automatic segmentation algorithms for MRI of the prostate.
Participants
1,404
Results
297
Latest Result
2 months, 1 week ago
Associated with
MICCAI 2012
Article
Med Imag Anal
Hosted on
grand-challenge.org
VESSEL12 logo
VESSEL12
The VESSEL12 challenge compares methods for automatic (and semi-automatic) segmentation of blood vessels in the lungs from CT images.
Participants
500
Associated with
ISBI 2012
Hosted on
grand-challenge.org
NBS12 logo
NeoBrainS12
The aim of the NeoBrainS12 challenge is to compare (semi-)automatic algorithms for segmentation of neonatal brain tissues (cortical and central grey matter, non-myelinated and myelinated white matter, brainstem and cerebellum, and cerebrospinal fluid in the …
Associated with
MICCAI 2012
Hosted on
uu.nl
PART12 logo
Particle Tracking Challenge
Quantitative analysis of dynamic processes in biological cells requires accurate tracking of large numbers of particles in time-lapse microscopy images. This challenge objectively compares the performance of particle tracking algorithms for this purpose.
Associated with
ISBI 2012
Article
Nat Methods
Hosted on
bioimageanalysis.org
DTITRAC12 logo
MICCAI 2012 DTI …
The second edition of DTI tractography challenge: Reconstruct the corticospinal tract from a set of neurosurgical cases.
Associated with
MICCAI 2012
Hosted on
harvard.edu
MAL2012 logo
MICCAI 2012 Grand …
Associated with
MICCAI 2012
Hosted on
vanderbilt.edu
EMSTACK12 logo
Segmentation of neuronal …
In this challenge, a full stack of EM slices will be used to train machine learning algorithms for the purpose of automatic segmentation of neural structures.
Associated with
ISBI 2012
Article
Frontiers in Neuroanatomy
Hosted on
mit.edu
BRATS12 logo
Brain Tumor Image …
Multimodal Brain Tumor Segmentation (BraTS), making available a large dataset of brain tumor MR scans in which the tumor and edema regions have been manually delineated. In addition, we also provide realistically generated synthetic brain …
Associated with
MICCAI 2012
Article
IEEE Trans Med Imaging
Hosted on
dtu.dk
HARDI12 logo
High angular resolution …
High angular resolution diffusion imaging 2012
Associated with
ISBI 2012
Article
http://hardi.epfl.ch/static/events/2012_ISBI/_static/proceedings.pdf
Hosted on
epfl.ch
US2012 logo
Challenge US 2012: …
This is a segmentation challenge for automatically segmenting anatomical structures to measure standard obstetric biometric parameters, from 2D fetal ultrasound images.
Associated with
ISBI 2012
Article
IEEE Trans Med Imaging
Hosted on
ox.ac.uk
STENOSIS logo
Coronary Artery Stenoses …
Associated with
MICCAI 2012
Hosted on
bigr.nl
RVSEG logo
RV Segmentation Challenge …
Associated with
MICCAI 2012
Hosted on
litislab.eu

2011

LOLA11 logo
LOLA11
The goal of LOLA11 (LObe and Lung Analysis 2011) is to compare methods for (semi-)automatic segmentation of the lungs and lobes from chest computed tomography scans. Any team, whether from academia or industry, can join.
Participants
415
Results
48
Latest Result
1 month, 3 weeks ago
Associated with
MICCAI 2011
Hosted on
grand-challenge.org
DTITRAC11 logo
DTI Tractography Challenge …
Associated with
MICCAI 2011
Hosted on
na-mic.org
STACOM4DLVS logo
The STACOM 2011 …
Associated with
MICCAI 2011
Article
Med Imag Anal
Hosted on
cardiacatlas.org
STACOMMT logo
Cardiac Motion Analysis …
The objective of this challenge is to evaluate the accuracy and reproducibility of different motion analysis algorithms applied to a multimodal cardiac database. The database includes a dataset from a dynamic phantom1 and 15 datasets …
Associated with
MICCAI 2011
Article
https://www.sciencedirect.com/science/article/pii/S1361841513000388?via%3Dihub
Hosted on
cardiacatlas.org

2010

HANAS10 logo
Head & Neck …
Associated with
MICCAI 2010
Article
http://www.sciencedirect.com/science/article/pii/S0360301614040577
Hosted on
sciencedirect.com
EMPIRE10 logo
EMPIRE10
Accurate registration of thoracic CT is both extremely useful in clinical terms and exceptionally challenging due to the elastic nature of lung tissue deformations. EMPIRE10 provides a platform for in-depth evaluation and fair comparison of …
Associated with
MICCAI 2010
Article
IEEE Trans Med Imaging
Hosted on
uu.nl
SKI10 logo
SKI10
Knee cartilage segmentation is a clinically relevant segmentation problem which has gained considerable importance in recent years. The goal of SKI10 is to compare different algorithms for cartilage and bone segmentation from knee MRI data.
Associated with
MICCAI 2010
Hosted on
ski10.org
DIADEM10 logo
DIADEM
The goals of this competition were to raise awareness of the problem of automated neuronal reconstruction, spur development of automated and semi-automated algorithms, and to gauge the state of the art in the field.
Associated with
HHMI Janelia Farm Campus, sept 01 2010
Hosted on
diademchallenge.org

2009

ANODE09 logo
ANODE09
ANODE09 is an initiative to compare systems that perform automatic detection of pulmonary nodules in chest CT scans on a single common database, with a single evaluation protocol.
Participants
353
Associated with
SPIE MI 2009
Article
Med Imag Anal
Hosted on
grand-challenge.org
VOLCAN09 logo
VOLCAN09
VOLCANO'09: Volume Change Analysis of Nodules
Associated with
MICCAI 2009
Article
http://www.lungworkshop.org/2009/proc2009/353.pdf
Hosted on
cornell.edu
EXACT09 logo
EXACT09
The goal of the EXACT study is to compare algorithms to extract the airway tree from thoracic computed tomography scans using a common dataset and performance evaluation method.
Associated with
MICCAI 2009
Article
IEEE Trans Med Imaging
Hosted on
diku.dk
HANAS09 logo
Head & Neck …
Associated with
MICCAI 2009
Article
http://www.insight-journal.org/browse/journal/50
Hosted on
midasjournal.org
CORONARYC logo
Rotterdam Coronary Artery …
Article
Med Imag Anal
Hosted on
bigr.nl
PROMISE09 logo
PROMISE09
2009 Prostate Segmentation Challenge
Associated with
MICCAI 2009
Article
http://wiki.na-mic.org/Wiki/index.php/File:MICCAI2009SegmentationChallenge.ppt
Hosted on
na-mic.org
BIFRUC logo
The Carotid Bifurcation …
Associated with
MICCAI 2009
Article
Med Imag Anal
Hosted on
bigr.nl
ROC logo
ROC
ROC: Retinopathy Online Challenge
Associated with
SPIE MI 2009
Article
IEEE Trans Med Imaging
Hosted on
uiowa.edu

2008

LESEG08 logo
MS Lesion Segmentation …
Associated with
MICCAI 2008
Hosted on
unc.edu
LTS08 logo
3D Liver Tumor …
Associated with
MICCAI 2008
Hosted on
archive.org

2007

SLIVER07 logo
SLIVER07
The goal of this competition is to compare different algorithms to segment the liver from clinical 3D computed tomography (CT) scans.
Participants
212
Results
60
Latest Result
1 week, 1 day ago
Article
Trans Med Imag
Hosted on
grand-challenge.org
CAUSE07 logo
CAUSE07
The goal of CAUSE07 is to compare different algorithms to segment the caudate nucleaus from brain MRI scans.
Participants
97
Associated with
MICCAI 2007
Hosted on
grand-challenge.org