LiTS17 (Liver Tumor Segmentation Challenge 2017)

Introduced by Patrick Bilic et al. in The Liver Tumor Segmentation Benchmark (LiTS)1 Jan 2019 archive 2025-07-28

LiTS17 is a liver tumor segmentation benchmark. 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. Image Source: https://arxiv.org/pdf/1707.07734.pdf

Homepage Benchmarks Papers JSON

Benchmarks archive 2025-07-28

All 3 leaderboards 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)	Paper	Code
Liver Segmentation	LiTS2017	Polar U-Net IoU 89.85	Training on Polar Image Transformations Improves...	marinbenc/medical-polar-training	9	Compare
Medical Image Segmentation	LiTS2017	UNet 3+ Dice 0.9675	UNet 3+: A Full-Scale Connected UNet for Medical Image...	yingkaisha/keras-unet-collection +6	2	Compare
Tumor Segmentation	LiTS17	label-free Dice 59.77	Label-Free Liver Tumor Segmentation	mrgiovanni/synthetictumors	1	Compare

Papers archive 2025-07-28

9 shown of 9 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 45. The Syntology column is from Syntology's graph (read 2026-09-24), stated per sample; it is not part of any archive number.

			Date	Samples run Syntology
CT Liver Segmentation via PVT-based Encoding and Refined Decoding	1	1	17 Jan 2024	not harvested
Label-Free Liver Tumor Segmentation	1	1	27 Mar 2023	not harvested
Training on Polar Image Transformations Improves Biomedical Image Segmentation	1	1	29 Sep 2021	not harvested
KiU-Net: Overcomplete Convolutional Architectures for Biomedical Image and Volumetric Segmentation	1	2	4 Oct 2020	not harvested
Learning Semantics-enriched Representation via Self-discovery, Self-classification, and Self-restoration	2	1	14 Jul 2020	not harvested
UNet 3+: A Full-Scale Connected UNet for Medical Image Segmentation	7	2	19 Apr 2020	ran 4 of 17 samples (13 unverified; 1 pointer-only for licence)
Models Genesis: Generic Autodidactic Models for 3D Medical Image Analysis	2	1	19 Aug 2019	not harvested
Liver Lesion Segmentation with slice-wise 2D Tiramisu and Tversky loss function	1	1	9 May 2019	not harvested
H-DenseUNet: Hybrid Densely Connected UNet for Liver and Tumor Segmentation from CT Volumes	2	2	21 Sep 2017	not harvested

Dataset loaders archive 2025-07-28

pytorch/tutorialspytorch

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

Tasks archive 2025-07-28

Medical Image Segmentation Tumor Segmentation Computed Tomography (CT)Liver Segmentation

License archive 2025-07-28

No licence recorded in the archive. Absence here is not a statement about the dataset's terms.

Modalities archive 2025-07-28

Images Medical

Languages archive 2025-07-28

Chinese

Variants archive 2025-07-28

LiTS2017
LiTS17

2 variant names, as the archive lists them.

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