The LUNA16 challenge: automatic nodule detection on chest CT
CAMELYON17
Challenge
User
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.
Decathlon
Challenge
User
The Medical Segmentation Decathlon challenge tests the generalisability of machine learning algorithms when applied to 10 different semantic segmentation task.
KiTS19
Challenge
User
2019 Kidney and Kidney Tumor Segmentation Challenge
This challenge will create the platform to evaluate emerging methods for the segmentation and quantification of lung lesions caused by SARS-CoV-2 infection from CT images.
The Head and Neck Organ-at-Risk CT & MR Segmentation Challenge
Challenge
User
A semantic multimodal segmentation challenge comprising 30 organs at risk
Foundation Model Prompting for Medical Image Classification
Challenge
User
The primary objective of this challenge is to promote the development and evaluation of model adaptation techniques for medical image classification to leverage the existing foundation models.
CL-Detection 2023
Challenge
User
Cephalometric landmark detection in lateral x-ray images
