LUNA16

The LUNA16 challenge: automatic nodule detection on chest CT

CHAOS

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

EndoCV2021

Endoscopy Computer Vision Challenge 2021

Cross-Modality Domain Adaptation Image Segmentation - 2021

The CrossMoDA challenge 2021 introduces the first large and multi-class medical dataset for unsupervised cross-modality Domain Adaptation.

FeTA - Fetal Tissue Annotation Challenge

Fetal Tissue Annotation Challenge

SynthRAD2023

SynthRAD is the first challenge on automatic generation of synthetic computed tomography (sCT) for radiotherapy

Multi-Modality Abdominal Multi-Organ Segmentation Challenge 2022

Cross-Modality Domain Adaptation: Segmentation & Classification

The CrossMoDA 2022 challenge is the second edition of the first large and multi-class medical dataset for unsupervised cross-modality Domain Adaptation.

Ischemic Stroke Lesion Segmentation Challenge

autoPET-II

Automated Lesion Segmentation in PET/CT - Domain Generalization

Ischemic Stroke Lesion Segmentation Challenge 2024

2nd BONBID-HIE Challenge for HIE Outcome Prediction and Lesion S

CURVAS-Pancreatic Adenocarcinoma Vascular Invasion

Automated Identification of Mod-Sev TBI Lesions 2025

ToothFairy3: Multi-Class Segmentation in CBCT Volumes

ToothFairy3, part of the ODIN2025 challenge cluster at MICCAI2025, advances CBCT segmentation with an expanded 77-class dataset and a new emphasis on computational efficiency. It introduces two tasks: a runtime-aware multi-structure segmentation and a novel interactive track for Inferior Alveolar Canal (IAC) segmentation using minimal user input. The challenge supports the development of both automated and prompt-based interactive AI tools to enhance clinical workflows in dentistry and maxillofacial surgery.