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

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: 387
Hosted on: grand-challenge.org

DigestPath2019

Welcome to Digestive-System Pathological Detection and Segmentation Challenge 2019. This competition is part of the MICCAI 2019 Challenge.

Participants: 100
Associated with: MICCAI 2019
Hosted on: grand-challenge.org

StructSeg2019

Welcome to Automatic Structure Segmentation for Radiotherapy Planning Challenge 2019. This competition is part of the MICCAI 2019 Challenge.

Participants: 118
Associated with: MICCAI 2019
Hosted on: grand-challenge.org

VerSe`19

Vertebrae labelling and segmentation on a spine dataset on an unprecedented 150 CT scans with voxel-level vertebral annotations.

Participants: 332
Associated with: MICCAI 2019
Hosted on: grand-challenge.org

Stereo Correspondence and …

Stereo Correspondence and Reconstruction of Endoscopic Data

Participants: 72
Hosted on: grand-challenge.org

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: 153
Results: 56
Latest Result: 5 hours ago
Hosted on: grand-challenge.org

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: 73
Associated with: MICCAI 2019
Hosted on: grand-challenge.org

PAIP 2019

PAIP2019: Liver Cancer Segmentation Task 1: Liver Cancer Segmentation Task 2: Viable Tumor Burden Estimation

Participants: 520
Associated with: MICCAI 2019
Hosted on: grand-challenge.org

KiTS19

2019 Kidney and Kidney Tumor Segmentation Challenge

Participants: 646
Associated with: MICCAI 2019
Hosted on: grand-challenge.org

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: 382
Associated with: ISBI 2019
Hosted on: grand-challenge.org

ACDC-LungHP

Automatic Cancer Detection and Classification in Whole-slide Lung Histopathology

Participants: 435
Results: 476
Latest Result: 1 month ago
Associated with: ISBI 2019
Hosted on: grand-challenge.org

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: 552
Results: 1488
Latest Result: 2 months, 3 weeks ago
Associated with: ISBI2019
Hosted on: grand-challenge.org

CHAOS

In this challenge, you segment the liver in CT data, and segment liver, spleen, and kidneys in MRI data.

Participants: 782
Associated with: ISBI 2019
Hosted on: grand-challenge.org

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: 294
Results: 167
Latest Result: 2 days, 23 hours ago
Associated with: ISBI 2019
Article: https://www.researchgate.net/publication/325019076
Hosted on: grand-challenge.org

DRIVE

Develop a system to automatically segment vessels in human retina fundus images.

Participants: 550
Results: 1561
Latest Result: 1 day, 23 hours ago
Hosted on: grand-challenge.org

ISIC2019

Skin Lesion Analysis Towards Melanoma Detection

Workshop: Oct. 13, 2019
Associated with: MICCAI 2019
Hosted on: isic-archive.com

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

Workshop: July 14, 2019
Associated with: AAPM 2019
Hosted on: cloudapp.net

CTVIE19

Determine which CT ventilation imaging algorithms best correlate with reference measures across a range of pulmonary pathologies.

Workshop: July 14, 2019
Associated with: 2019 AAPM Annual Meeting
Hosted on: cloudapp.net

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

Segmentation of THoracic Organs at Risk in CT images

Associated with: ISBI 2019
Hosted on: codalab.org

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: 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

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

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

iChallenge-AMD

Age-related Macular Degeneration Challenge

Participants: 38
Hosted on: grand-challenge.org

Decathlon

The Medical Segmentation Decathlon challenge tests the generalisability of machine learning algorithms when applied to 10 different semantic segmentation task.

Participants: 210
Results: 11
Latest Result: 2 days, 23 hours ago
Hosted on: grand-challenge.org

iChallenges

We organized a serial of challenges on different eye image modalities, such as REFUGE, PALM, RETOUCH, etc.

Hosted on: grand-challenge.org

HC18

Automated measurement of fetal head circumference using 2D ultrasound images

Participants: 309
Results: 492
Latest Result: 4 hours ago
Hosted on: grand-challenge.org

PROSTATEx

Classification of clinical significance of prostate lesions using multi-parametric MRI data

Participants: 358
Results: 588
Latest Result: 1 day, 3 hours ago
Hosted on: grand-challenge.org

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

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

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: 428
Associated with: MICCAI 2018
Hosted on: grand-challenge.org

CuRIOUS 2018

MICCAI Challenge 2018 for Correction of Brainshift with Intra-Operative Ultrasound

Participants: 35
Associated with: MICCAI 2018
Hosted on: grand-challenge.org

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

The LUMIC challenge tests the accuracy in registration between pre- and post-contrast CT chest images for algorithms, using an anthropomophic digital phantom.

Participants: 332
Hosted on: grand-challenge.org

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: 1,538
Associated with: ISBI 2018
Hosted on: grand-challenge.org

ICIAR 2018

Can you develop a method for automatic detection of cancerous regions in breast cancer histology images?

Participants: 1,588
Results: 1193
Latest Result: 3 hours ago
Associated with: ICIAR 2018
Hosted on: grand-challenge.org

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 …

Associated with: MICCAI 2018
Hosted on: grand-challenge.org

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

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

RSNA Pneumonia Detection …

Automatically detect a visual signal for pneumonia in chest x-rays.

Hosted on: kaggle.com

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

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

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

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

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

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

Data Science Bowl …

Create an algorithm to automate nucleus detection from a variety of brightfield and fluorescence images.

Hosted on: kaggle.com

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

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

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

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

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

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

2017

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: 262
Associated with: MVIP 2017
Hosted on: grand-challenge.org

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: 165
Article: arXiv
Hosted on: grand-challenge.org

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: 277
Article: Med Image Anal
Hosted on: grand-challenge.org

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

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: 1,318
Results: 83
Latest Result: 6 days, 18 hours ago
Associated with: ISBI 2017
Article: IEEE Trans Med Imaging
Hosted on: grand-challenge.org

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

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

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

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
Hosted on: vanderbilt.edu

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

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

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

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

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

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

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

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

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

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

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

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

2016

LUNA16

The LUNA16 challenge will focus on a large-scale evaluation of automatic nodule detection algorithms for chest CT.

Participants: 7,217
Associated with: ISBI 2016
Article: Medical Image Analysis
Hosted on: grand-challenge.org

ISBI-AIDA

ISBI Endoscopic Image Challenge

Associated with: The IEEE International Symposium on Biomedical Imaging (ISBI)
Hosted on: grand-challenge.org

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

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

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

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

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

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

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

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

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

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

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

Positron Emission Tomography …

Automated segmentation of PET images for the delineation of tumor volumes

Associated with: MICCAI 2016
Hosted on: irisa.fr

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

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

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

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

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

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

Computational Methods & …

Automatic Intervertebral Disc Localization and Segmentation from 3D Multi-modality MR (M3) Images.

Associated with: MICCAI 2016
Hosted on: wordpress.com

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

2014

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

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: 128
Associated with: MICCAI 2014
Article: NeuroImage
Hosted on: grand-challenge.org

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

2013

Subsolid Nodules

We are presenting results of our segmentation method for subsolid lung nodules.

Hosted on: grand-challenge.org

CRASS

CRASS stands for Chest Radiograph Anatomical Structure Segmentation. The challenge currently invites participants to send in results for clavicle segmentation algorithms.

Participants: 238
Hosted on: grand-challenge.org

MICCAI 2013 DTI …

Associated with: MICCAI 2013
Hosted on: dti-challenge.org

ASPS13

Automated Segmentation of Prostate Structures (ASPS)

Associated with: MICCAI 2013
Hosted on: cancerimagingarchive.net

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

3D Segmentation of …

Associated with: ISBI 2013
Article: Front. Neuroanat.
Hosted on: mit.edu

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: smir.ch

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

Localization Microscopy Challenge

Associated with: ISBI 2013
Hosted on: epfl.ch

Computer Aided Detection …

Associated with: ISBI 2013
Hosted on: cad-pe.org

HARDI reconstruction challenge …

Associated with: ISBI 2013
Hosted on: epfl.ch

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

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

2012

PROMISE12

The goal of this challenge is to compare interactive and (semi)-automatic segmentation algorithms for MRI of the prostate.

Participants: 1,317
Results: 297
Latest Result: 1 week, 3 days ago
Associated with: MICCAI 2012
Article: Med Imag Anal
Hosted on: grand-challenge.org

VESSEL12

The VESSEL12 challenge compares methods for automatic (and semi-automatic) segmentation of blood vessels in the lungs from CT images.

Participants: 465
Associated with: ISBI 2012
Hosted on: grand-challenge.org

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

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

RV Segmentation Challenge …

Associated with: MICCAI 2012
Hosted on: litislab.eu

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

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

MICCAI 2012 DTI …

Associated with: MICCAI 2012
Hosted on: dti-challenge.org

Coronary Artery Stenoses …

Associated with: MICCAI 2012
Hosted on: bigr.nl

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

MICCAI 2012 Grand …

Associated with: MICCAI 2012
Hosted on: vanderbilt.edu

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

2011

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: 382
Results: 45
Latest Result: 1 week, 6 days ago
Associated with: MICCAI 2011
Hosted on: grand-challenge.org

DTI Tractography Challenge …

Associated with: MICCAI 2011
Hosted on: na-mic.org

The STACOM 2011 …

Associated with: MICCAI 2011
Article: Med Imag Anal
Hosted on: cardiacatlas.org

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

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

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

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

Head & Neck …

Associated with: MICCAI 2010
Article: http://www.sciencedirect.com/science/article/pii/S0360301614040577
Hosted on: sciencedirect.com

2009

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: 343
Associated with: SPIE MI 2009
Article: Med Imag Anal
Hosted on: grand-challenge.org

The Carotid Bifurcation …

Associated with: MICCAI 2009
Article: Med Imag Anal
Hosted on: bigr.nl

Head & Neck …

Associated with: MICCAI 2009
Article: http://www.insight-journal.org/browse/journal/50
Hosted on: midasjournal.org

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

ROC

ROC: Retinopathy Online Challenge

Associated with: SPIE MI 2009
Article: IEEE Trans Med Imaging
Hosted on: uiowa.edu

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

Rotterdam Coronary Artery …

Article: Med Imag Anal
Hosted on: bigr.nl

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

2008

MS Lesion Segmentation …

Associated with: MICCAI 2008
Hosted on: unc.edu

3D Liver Tumor …

Associated with: MICCAI 2008
Hosted on: archive.org

2007

SLIVER07

The goal of this competition is to compare different algorithms to segment the liver from clinical 3D computed tomography (CT) scans.

Participants: 140
Results: 59
Latest Result: 1 month, 2 weeks ago
Article: Trans Med Imag
Hosted on: grand-challenge.org

CAUSE07

The goal of CAUSE07 is to compare different algorithms to segment the caudate nucleaus from brain MRI scans.

Participants: 93
Associated with: MICCAI 2007
Hosted on: grand-challenge.org

All Challenges

Filters

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Modality

Task type

Structure

2019

ODIR-2019

DigestPath2019

StructSeg2019

VerSe`19

Stereo Correspondence and …

PatchCamelyon

curious2019

PAIP 2019

KiTS19

PALM

ACDC-LungHP

EAD2019

CHAOS

ANHIR

DRIVE

ISIC2019

RT-MAC

CTVIE19

CheXpert

SegTHOR

ABCD

BreastPathQ: Cancer Cellularity …

B-ALL Classification of …

CTC19

2018

iChallenge-AMD

Decathlon

iChallenges

HC18

PROSTATEx

PAVES

MoNuSeg

REFUGE

CuRIOUS 2018

Continuous Registration

LUMIC

IDRiD

ICIAR 2018

EndoVis

fastMRI

MURA

RSNA Pneumonia Detection …

ImageCLEF TB

Multi-shell diffusion MRI …

Dermoscopic Skin Lesion …

Intervertebral Disc Segmentation …

MR Brain Image …

18F-FDG PET Radiomics …

Data Science Bowl …

Ischemic Stroke Lesion …

3-D Validation of …

Pancreatic Cancer Survival …

Combined Radiology and …

Brain Tumor Image …

Digital Pathology: Segmentation …

2017

ROCC

TADPOLE

CATARACTS

RETOUCH

CAMELYON17

ImageCLEF Tuberculosis 2017

Coronary Artery Reconstruction …

ACDC

TraCED

Brain Tumor Image …

Tissue Microarray Analysis …

ENIGMA Cerebellum

WMH Segmentation Challenge

Skin Lesion Analysis …

Pediatric Bone Age …

Cervical Cancer Screening

Multi-Modality Whole Heart …