PROMISE12

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

PROSTATEx

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

CHAOS

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

The PI-CAI Challenge

Artificial Intelligence and Radiologists at Prostate Cancer Detection in MRI

Ultra-low Dose PET Imaging Challenge

This challenge aims to develop deep learning algorithms capable of recovering high-quality imaging from low-dose scans on this ultra-low-dose PET scanner.

autoPET

Automatic lesion segmentation in whole-body FDG-PET/CT

Multi-Modality Abdominal Multi-Organ Segmentation Challenge 2022

Ischemic Stroke Lesion Segmentation Challenge

Hypoxic Ischemic Encephalopathy Lesion Segmentation Challenge

Universal Lesion Segmentation Challenge '23

AutoPET III

Prostate Segmentation

Whole-Gland Prostate Segmentation in bpMRI

PI-CAI: Baseline U-Net (supervised)

Prostate zonal segmentation by BDAV_Y

Prostate zonal segmentation by BDAV_Y

DataScientX (N. Debs, A. Routier, et al.; France) algorithm trained on PI-CAI: Private and Public Training Dataset