LiTS – Liver Tumor Segmentation Challenge (LiTS17)
Patrick Christ

LITS17 (262 files)
segmentation-0.nii.zip 61.06kB
segmentation-1.nii.zip 58.74kB
segmentation-2.nii.zip 257.34kB
segmentation-3.nii.zip 279.49kB
segmentation-4.nii.zip 682.10kB
segmentation-5.nii.zip 225.11kB
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segmentation-9.nii.zip 247.34kB
segmentation-10.nii.zip 257.11kB
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segmentation-13.nii.zip 404.15kB
segmentation-14.nii.zip 278.67kB
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segmentation-16.nii.zip 533.81kB
segmentation-17.nii.zip 377.53kB
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segmentation-27.nii.zip 387.45kB
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segmentation-55.nii.zip 180.16kB
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segmentation-57.nii.zip 216.12kB
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segmentation-60.nii.zip 149.55kB
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segmentation-64.nii.zip 136.16kB
segmentation-65.nii.zip 368.53kB
segmentation-66.nii.zip 71.05kB
segmentation-67.nii.zip 138.51kB
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segmentation-81.nii.zip 813.55kB
segmentation-82.nii.zip 1.30MB
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segmentation-88.nii.zip 349.59kB
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segmentation-91.nii.zip 305.99kB
segmentation-92.nii.zip 350.82kB
segmentation-93.nii.zip 397.27kB
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segmentation-95.nii.zip 359.47kB
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segmentation-97.nii.zip 439.26kB
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segmentation-99.nii.zip 314.10kB
segmentation-100.nii.zip 455.16kB
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segmentation-102.nii.zip 389.19kB
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segmentation-127.nii.zip 417.81kB
segmentation-128.nii.zip 411.47kB
segmentation-129.nii.zip 467.54kB
segmentation-130.nii.zip 382.46kB
volume-0.nii.zip 17.55MB
volume-1.nii.zip 29.69MB
volume-2.nii.zip 160.08MB
volume-3.nii.zip 170.20MB
volume-4.nii.zip 216.36MB
volume-5.nii.zip 137.63MB
volume-6.nii.zip 147.38MB
volume-7.nii.zip 170.35MB
volume-8.nii.zip 158.36MB
volume-9.nii.zip 161.82MB
volume-10.nii.zip 154.85MB
volume-11.nii.zip 148.34MB
volume-12.nii.zip 145.86MB
volume-13.nii.zip 169.29MB
volume-14.nii.zip 182.01MB
volume-15.nii.zip 174.19MB
volume-16.nii.zip 171.46MB
volume-17.nii.zip 212.58MB
volume-18.nii.zip 205.53MB
volume-19.nii.zip 173.91MB
volume-20.nii.zip 173.68MB
volume-21.nii.zip 130.21MB
volume-22.nii.zip 57.41MB
volume-23.nii.zip 115.59MB
volume-24.nii.zip 85.49MB
volume-25.nii.zip 166.60MB
volume-26.nii.zip 176.75MB
volume-27.nii.zip 247.76MB
volume-28.nii.zip 32.21MB
volume-29.nii.zip 38.78MB
volume-30.nii.zip 52.50MB
volume-31.nii.zip 25.59MB
volume-32.nii.zip 36.33MB
volume-33.nii.zip 35.65MB
volume-34.nii.zip 34.13MB
volume-35.nii.zip 31.64MB
volume-36.nii.zip 30.30MB
volume-37.nii.zip 32.27MB
volume-38.nii.zip 33.34MB
volume-39.nii.zip 62.31MB
volume-40.nii.zip 29.86MB
volume-41.nii.zip 28.34MB
volume-42.nii.zip 28.39MB
volume-43.nii.zip 39.74MB
volume-44.nii.zip 28.90MB
volume-45.nii.zip 19.29MB
volume-46.nii.zip 29.20MB
volume-47.nii.zip 55.11MB
volume-48.nii.zip 57.42MB
volume-49.nii.zip 60.02MB
volume-50.nii.zip 55.59MB
volume-51.nii.zip 58.89MB
volume-52.nii.zip 56.04MB
volume-53.nii.zip 26.07MB
volume-54.nii.zip 26.98MB
volume-55.nii.zip 56.31MB
volume-56.nii.zip 67.24MB
volume-57.nii.zip 111.28MB
volume-58.nii.zip 62.12MB
volume-59.nii.zip 65.83MB
volume-60.nii.zip 73.52MB
volume-61.nii.zip 53.37MB
volume-62.nii.zip 53.75MB
volume-63.nii.zip 31.04MB
volume-64.nii.zip 65.78MB
volume-65.nii.zip 130.21MB
volume-66.nii.zip 26.67MB
volume-67.nii.zip 46.66MB
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Type: Dataset
Tags:

Bibtex:
@article{,
title= {LiTS – Liver Tumor Segmentation Challenge (LiTS17)},
keywords= {},
author= {Patrick Christ},
abstract= {The liver is a common site of primary (i.e. originating in the liver like hepatocellular carcinoma, HCC) or secondary (i.e. spreading to the liver like colorectal cancer) tumor development. Due to their heterogeneous and diffusive shape, automatic segmentation of tumor lesions is very challenging. Until now, only interactive methods achieved acceptable results segmenting liver lesions.

With our challenge we encourage researchers to develop automatic segmentation algorithms to segment liver lesions in contrast­-enhanced abdominal CT scans. The data and segmentations are provided by various clinical sites around the world. The training data set contains 130 CT scans and the test data set 70 CT scans. The challenge is organised in conjunction with ISBI 2017 and MICCAI 2017. For MICCAI 2017 we added tasks for liver segmentation and tumor burden estimation.

![](https://i.imgur.com/ia2qGlH.png)

![](https://i.imgur.com/eDN20ck.png)

Paper reference: https://arxiv.org/abs/1901.04056


},
terms= {},
license= {Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License},
superseded= {},
url= {https://competitions.codalab.org/competitions/17094}
}


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10 day statistics (11 downloads)

Average Time 1 hours, 06 minutes, 14 seconds
Average Speed 4.19MB/s
Best Time 5 minutes, 06 seconds
Best Speed 54.43MB/s
Worst Time 4 hours, 02 minutes, 53 seconds
Worst Speed 1.14MB/s
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