The goal of this competition is to compare different algorithms to segment the liver from clinical 3D computed tomography (CT) scans.
CHAOS
Challenge
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In this challenge, you segment the liver in CT data, and segment liver, spleen, and kidneys in MRI data.
Decathlon
Challenge
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The Medical Segmentation Decathlon challenge tests the generalisability of machine learning algorithms when applied to 10 different semantic segmentation task.
PAIP 2019
Challenge
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PAIP2019: Liver Cancer Segmentation Task 1: Liver Cancer Segmentation Task 2: Viable Tumor Burden Estimation
FLARE21
Challenge
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Fast and Low GPU memory Abdominal oRgan sEgmentation Challenge
The PI-CAI Challenge
Challenge
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Artificial Intelligence and Radiologists at Prostate Cancer Detection in MRI
MICCAI FLARE 2022
Challenge
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MICCAI 2022 Fast and Low-resource semi-supervised Abdominal oRgan sEgmentation (FLARE) Challenge
