CRASS stands for Chest Radiograph Anatomical Structure Segmentation. The challenge currently invites participants to send in results for clavicle segmentation algorithms.
LUNA16
Challenge
User
The LUNA16 challenge: automatic nodule detection on chest CT
PROSTATEx
Challenge
User
Classification of clinical significance of prostate lesions using multi-parametric MRI data
HC18
Challenge
User
Automated measurement of fetal head circumference using 2D ultrasound images
iChallenges
Challenge
User
We organized a serial of challenges on different eye image modalities, such as REFUGE, PALM, RETOUCH, etc.
Decathlon
Challenge
User
The Medical Segmentation Decathlon challenge tests the generalisability of machine learning algorithms when applied to 10 different semantic segmentation task.
NODE21
Challenge
Editor
NODE21: generate and detect nodules on chest radiographs
MIDOG Challenge 2021
Challenge
User
Mitosis Domain Generalization Challenge 2021 (part of MICCAI 2021)
AIROGS
Challenge
User
Artificial Intelligence for RObust Glaucoma Screening Challenge
CoNIC 2022
Challenge
User
Colon Nuclei Identification and Counting Challenge 2022
Spleen Segmentation
Algorithm
User
Automatic spleen segmentation on thorax-abdomen CT scans.
CXR Cardiomegaly Detection
Algorithm
Editor
Detect cardiomegaly on chest radiographs through the segmentation of the heart and lungs .
Pulmonary Lobe Segmentation
Algorithm
User
Automatic segmentation of pulmonary lobes on CT scans for patients with COPD or COVID-19.
CORADS-AI
Algorithm
User
Segments pulmonary lobes and lesions and computes the CORADS and CT Severity Score from a non-contrast CT scan.
Pulmonary Nodule Malignancy Prediction
Algorithm
User
Deep Learning for Malignancy Risk Estimation of Low-Dose Screening CT Detected Pulmonary Nodules
CXR Total Lung Volume Measurement
Algorithm
Editor
Measurement of total lung volume from chest radiographs using frontal and lateral radiographs