The Medical Segmentation Decathlon challenge tests the generalisability of machine learning algorithms when applied to 10 different semantic segmentation task.
Learn2Reg
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Challenge on medical image registration addressing: learning from small datasets; estimating large deformations; dealing with multi-modal scans; and learning from noisy annotations
RIADD (ISBI-2021)
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Retinal Image Analysis for multi-Disease Detection
AIROGS
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Artificial Intelligence for RObust Glaucoma Screening Challenge
INSTANCE2022
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The 2022 Intracranial Hemorrhage Segmentation Challenge on Non-Contrast head CT (NCCT)
MICCAI FLARE 2022
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MICCAI 2022 Fast and Low-resource semi-supervised Abdominal oRgan sEgmentation (FLARE) Challenge
ACROBAT 2023
Challenge
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The ACROBAT challenge aims to advance the development of WSI registration algorithms that can align WSIs of IHC-stained breast cancer tissue sections to corresponding tissue regions that were stained with H&E. All WSIs originate from routine diagnostic workflows.
