Medical Segmentation Decathlon Datasets

MSD (4380 files)
license.txt 20.13kB
Task01_BrainTumour/dataset.json 46.23kB
Task01_BrainTumour/imagesTr/BRATS_001.nii.gz 10.64MB
Task01_BrainTumour/imagesTr/BRATS_002.nii.gz 11.43MB
Task01_BrainTumour/imagesTr/BRATS_003.nii.gz 12.18MB
Task01_BrainTumour/imagesTr/BRATS_004.nii.gz 9.04MB
Task01_BrainTumour/imagesTr/BRATS_005.nii.gz 10.95MB
Task01_BrainTumour/imagesTr/BRATS_006.nii.gz 10.11MB
Task01_BrainTumour/imagesTr/BRATS_007.nii.gz 11.43MB
Task01_BrainTumour/imagesTr/BRATS_008.nii.gz 11.70MB
Task01_BrainTumour/imagesTr/BRATS_009.nii.gz 8.79MB
Task01_BrainTumour/imagesTr/BRATS_010.nii.gz 11.27MB
Task01_BrainTumour/imagesTr/BRATS_011.nii.gz 9.72MB
Task01_BrainTumour/imagesTr/BRATS_012.nii.gz 11.04MB
Task01_BrainTumour/imagesTr/BRATS_013.nii.gz 10.85MB
Task01_BrainTumour/imagesTr/BRATS_014.nii.gz 11.61MB
Task01_BrainTumour/imagesTr/BRATS_015.nii.gz 12.26MB
Task01_BrainTumour/imagesTr/BRATS_016.nii.gz 9.41MB
Task01_BrainTumour/imagesTr/BRATS_017.nii.gz 7.80MB
Task01_BrainTumour/imagesTr/BRATS_018.nii.gz 9.11MB
Task01_BrainTumour/imagesTr/BRATS_019.nii.gz 8.81MB
Task01_BrainTumour/imagesTr/BRATS_020.nii.gz 8.97MB
Task01_BrainTumour/imagesTr/BRATS_021.nii.gz 8.43MB
Task01_BrainTumour/imagesTr/BRATS_022.nii.gz 9.30MB
Task01_BrainTumour/imagesTr/BRATS_023.nii.gz 10.69MB
Task01_BrainTumour/imagesTr/BRATS_024.nii.gz 10.44MB
Task01_BrainTumour/imagesTr/BRATS_025.nii.gz 9.49MB
Task01_BrainTumour/imagesTr/BRATS_026.nii.gz 7.33MB
Task01_BrainTumour/imagesTr/BRATS_027.nii.gz 8.27MB
Task01_BrainTumour/imagesTr/BRATS_028.nii.gz 8.06MB
Task01_BrainTumour/imagesTr/BRATS_029.nii.gz 8.56MB
Task01_BrainTumour/imagesTr/BRATS_030.nii.gz 8.16MB
Task01_BrainTumour/imagesTr/BRATS_031.nii.gz 10.36MB
Task01_BrainTumour/imagesTr/BRATS_032.nii.gz 9.01MB
Task01_BrainTumour/imagesTr/BRATS_033.nii.gz 9.58MB
Task01_BrainTumour/imagesTr/BRATS_034.nii.gz 9.55MB
Task01_BrainTumour/imagesTr/BRATS_035.nii.gz 9.23MB
Task01_BrainTumour/imagesTr/BRATS_036.nii.gz 8.21MB
Task01_BrainTumour/imagesTr/BRATS_037.nii.gz 11.02MB
Task01_BrainTumour/imagesTr/BRATS_038.nii.gz 9.21MB
Task01_BrainTumour/imagesTr/BRATS_039.nii.gz 8.47MB
Task01_BrainTumour/imagesTr/BRATS_040.nii.gz 7.48MB
Task01_BrainTumour/imagesTr/BRATS_041.nii.gz 9.55MB
Task01_BrainTumour/imagesTr/BRATS_042.nii.gz 9.39MB
Task01_BrainTumour/imagesTr/BRATS_043.nii.gz 10.92MB
Task01_BrainTumour/imagesTr/BRATS_044.nii.gz 8.63MB
Task01_BrainTumour/imagesTr/BRATS_045.nii.gz 9.73MB
Task01_BrainTumour/imagesTr/BRATS_046.nii.gz 8.84MB
Task01_BrainTumour/imagesTr/BRATS_047.nii.gz 9.68MB
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Type: Dataset
Tags:

Bibtex:
@article{,
title= {Medical Segmentation Decathlon Datasets},
keywords= {},
author= {},
abstract= {https://i.imgur.com/QqgA5n4.jpg

With recent advances in machine learning, semantic segmentation algorithms are becoming increasingly general purpose and translatable to unseen tasks. Many key algorithmic advances in the field of medical imaging are commonly validated on a small number of tasks, limiting our understanding of the generalisability of the proposed contributions. A model which works out-of-the-box on many tasks, in the spirit of AutoML, would have a tremendous impact on healthcare. The field of medical imaging is also missing a fully open source and comprehensive benchmark for general purpose algorithmic validation and testing covering a large span of challenges, such as: small data, unbalanced labels, large-ranging object scales, multi-class labels, and multimodal imaging, etc. This challenge and dataset aims to provide such resource thorugh the open sourcing of large medical imaging datasets on several highly different tasks, and by standardising the analysis and validation process. 

```
4.6M    ./Task06_Lung/labelsTr
5.7G    ./Task06_Lung/imagesTr
2.9G    ./Task06_Lung/imagesTs
8.6G    ./Task06_Lung
240K    ./Task05_Prostate/labelsTr
150M    ./Task05_Prostate/imagesTr
79M     ./Task05_Prostate/imagesTs
229M    ./Task05_Prostate
15M     ./Task01_BrainTumour/labelsTr
4.5G    ./Task01_BrainTumour/imagesTr
2.7G    ./Task01_BrainTumour/imagesTs
7.1G    ./Task01_BrainTumour
8.6M    ./Task07_Pancreas/labelsTr
7.6G    ./Task07_Pancreas/imagesTr
3.9G    ./Task07_Pancreas/imagesTs
12G     ./Task07_Pancreas
388K    ./Task02_Heart/labelsTr
249M    ./Task02_Heart/imagesTr
186M    ./Task02_Heart/imagesTs
435M    ./Task02_Heart
8.7M    ./Task08_HepaticVessel/labelsTr
5.8G    ./Task08_HepaticVessel/imagesTr
3.0G    ./Task08_HepaticVessel/imagesTs
8.8G    ./Task08_HepaticVessel
1.3M    ./Task09_Spleen/labelsTr
1.1G    ./Task09_Spleen/imagesTr
461M    ./Task09_Spleen/imagesTs
1.5G    ./Task09_Spleen
14M     ./Task10_Colon/labelsTr
4.0G    ./Task10_Colon/imagesTr
1.9G    ./Task10_Colon/imagesTs
5.9G    ./Task10_Colon
30M     ./Task03_Liver/labelsTr
19G     ./Task03_Liver/imagesTr
8.6G    ./Task03_Liver/imagesTs
27G     ./Task03_Liver
1.1M    ./Task04_Hippocampus/labelsTr
19M     ./Task04_Hippocampus/imagesTr
8.8M    ./Task04_Hippocampus/imagesTs
29M     ./Task04_Hippocampus
71G     .
```

Competition site: https://decathlon-10.grand-challenge.org/},
terms= {},
license= {CC-BY-SA 4.0},
superseded= {},
url= {http://medicaldecathlon.com/}
}


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