Datasets › Medical Segmentation Decathlon

Medical Segmentation Decathlon

Introduced by Amber L. Simpson et al. in A large annotated medical image dataset for the development and evaluation of segmentation algorithms25 Feb 2019 archive 2025-07-28

The Medical Segmentation Decathlon is a collection of medical image segmentation datasets. It contains a total of 2,633 three-dimensional images collected across multiple anatomies of interest, multiple modalities and multiple sources. Specifically, it contains data for the following body organs or parts: Brain, Heart, Liver, Hippocampus, Prostate, Lung, Pancreas, Hepatic Vessel, Spleen and Colon.

Source: A large annotated medical image dataset for the development and evaluation of segmentation algorithms Image Source: Simpson et al

Benchmarks archive 2025-07-28

All 1 leaderboard whose dataset resolves to this page shown (sort by any header). "First row" is the archive's own first row at snapshot, in the archive's row order; nothing here re-ranks and metric direction is not asserted.

First row (archive order)PaperCode
Medical Image Segmentation Medical Segmentation Decathlon Swin UNETR Dice (Average) 78.68 Self-Supervised Pre-Training of Swin Transformers for 3D... Project-MONAI/research-contributions +1 5 Compare

Papers archive 2025-07-28

5 shown of 5 papers with a leaderboard row on this dataset's benchmarks, newest first. The archive's own "papers using this dataset" list was never published, so this is the benchmark-backed subset; the archive's count for this dataset is 97. The Syntology column is from Syntology's graph (read 2026-09-24), stated per sample; it is not part of any archive number.

Dataset loaders archive 2025-07-28

pytorch

1 loader as listed in the archive; links are outbound and not re-checked here.

Tasks archive 2025-07-28

License archive 2025-07-28

CC-BY-SA 4.0

Modalities archive 2025-07-28

Languages archive 2025-07-28

No language tagged.

Variants archive 2025-07-28

  • Medical Segmentation Decathlon

1 variant name, as the archive lists them.

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