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The Liver Tumor Segmentation Benchmark (LiTS)
v1v2 (latest)

The Liver Tumor Segmentation Benchmark (LiTS)

13 January 2019
Patrick Bilic
P. Christ
Hongwei Bran Li
Eugene Vorontsov
Avi Ben-Cohen
Georgios Kaissis
Adi Szeskin
Colin Jacobs
Gabriel Efrain Humpire Mamani
Gabriel Chartrand
Fabian Lohöfer
Julian Walter Holch
Wieland Sommer
Felix O. Hofmann
Alexandre Hostettler
Naama Lev-Cohain
M. Drozdzal
Michal Marianne Amitai
Refael Vivantik
Jacob Sosna
Miao Le
Anjany Sekuboyina
Fernando Navarro
Florian Kofler
C. Pal
Chunming Li
Xiao Han
Jana Lipková
Markus Rempfler
Marie Piraud
Jan Kirschke
Benedikt Wiestler
Zhiheng Zhang
Christian Hülsemeyer
M. Beetz
Florian Ettlinger
Michela Antonelli
Woong Bae
Míriam Bellver
Xuelong Li
A. Schenk
G. Chlebus
Erik B. Dam
Qi Dou
Chi-Wing Fu
Bogdan Georgescu
Xavier Giró-i-Nieto
Felix Grün
Xu Han
Ping Zhou
Jurgen Hesser
J. Moltz
Christian Igel
Fabian Isensee
Paul Jäger
Fucang Jia
Krishna Chaitanya Kaluva
Mahendra Khened
Ildoo Kim
Jae-Hun Kim
Sungwoong Kim
Simon A. A. Kohl
Tomasz K. Konopczynski
Avinash Kori
Ganapathy Krishnamurthi
F. Lohöfer
Hongchao Li
Junbo Li
Xiaomeng Li
John S. Lowengrub
Jun Ma
Klaus Maier-Hein
Kevis-Kokitsi Maninis
H. Meine
Dorit Merhof
Akshay Pai
Mathias Perslev
Jens Petersen
Jordi Pont-Tuset
Jin Qi
Xiaojuan Qi
Oliver Rippel
Karsten Roth
Ignacio Sarasua
Avi Ben-Cohen
ZENGMING SHEN
Johan Moreau
Christian Wachinger
Eyal Klang
Eli Konen
Jianrong Wu
Daguang Xu
Xiaoping Yang
N. Lev-Cohain
Adi Szeskin
Miao Yu
R. Vivanti
J. Sosna
Spyridon Bakas
R. Braren
V. Heinemann
Christopher Pal
A. Tang
Samuel Kadoury
L. Soler
Bram van Ginneken
H. Greenspan
Leo Joskowicz
Bjoern Menze
ArXiv (abs)PDFHTML

Papers citing "The Liver Tumor Segmentation Benchmark (LiTS)"

50 / 371 papers shown
Title
Self-eXplainable AI for Medical Image Analysis: A Survey and New
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Self-eXplainable AI for Medical Image Analysis: A Survey and New Outlooks
Junlin Hou
Sicen Liu
Yequan Bie
Hongmei Wang
Andong Tan
Luyang Luo
Hao Chen
XAI
118
5
0
03 Oct 2024
MONICA: Benchmarking on Long-tailed Medical Image Classification
MONICA: Benchmarking on Long-tailed Medical Image Classification
Lie Ju
Siyuan Yan
Yukun Zhou
Yang Nan
Xiaodan Xing
Peibo Duan
Zongyuan Ge
134
0
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02 Oct 2024
AI generated annotations for Breast, Brain, Liver, Lungs and Prostate
  cancer collections in National Cancer Institute Imaging Data Commons
AI generated annotations for Breast, Brain, Liver, Lungs and Prostate cancer collections in National Cancer Institute Imaging Data Commons
G. Murugesan
Diana McCrumb
Rahul Soni
J. Kumar
Leonard Nuernberg
...
Ulrike Wagner
Sutton Granger
Andrey Y. Fedorov
Stephen Moore
Jeff Van Oss
40
0
0
30 Sep 2024
Uni-Med: A Unified Medical Generalist Foundation Model For Multi-Task
  Learning Via Connector-MoE
Uni-Med: A Unified Medical Generalist Foundation Model For Multi-Task Learning Via Connector-MoE
Xun Zhu
Ying Hu
Fanbin Mo
Miao Li
Ji Wu
125
9
0
26 Sep 2024
The Effect of Lossy Compression on 3D Medical Images Segmentation with
  Deep Learning
The Effect of Lossy Compression on 3D Medical Images Segmentation with Deep Learning
Anvar Kurmukov
Bogdan Zavolovich
A. Dalechina
Vladislav Proskurov
B. Shirokikh
MedIm
34
1
0
25 Sep 2024
TransUKAN:Computing-Efficient Hybrid KAN-Transformer for Enhanced
  Medical Image Segmentation
TransUKAN:Computing-Efficient Hybrid KAN-Transformer for Enhanced Medical Image Segmentation
Yanlin Wu
Tao Li
Zhihong Wang
Hong Kang
Along He
ViTMedIm
88
4
0
23 Sep 2024
Spectral U-Net: Enhancing Medical Image Segmentation via Spectral
  Decomposition
Spectral U-Net: Enhancing Medical Image Segmentation via Spectral Decomposition
Yaopeng Peng
Milan Sonka
Danny Chen
121
1
0
13 Sep 2024
Lagrange Duality and Compound Multi-Attention Transformer for
  Semi-Supervised Medical Image Segmentation
Lagrange Duality and Compound Multi-Attention Transformer for Semi-Supervised Medical Image Segmentation
Fuchen Zheng
Quanjun Li
Weixuan Li
Xuhang Chen
Yihang Dong
Guoheng Huang
Chi-Man Pun
Shoujun Zhou
MedIm
99
0
0
12 Sep 2024
ASSNet: Adaptive Semantic Segmentation Network for Microtumors and
  Multi-Organ Segmentation
ASSNet: Adaptive Semantic Segmentation Network for Microtumors and Multi-Organ Segmentation
Fuchen Zheng
Xinyi Chen
Xuhang Chen
Haolun Li
Xiaojiao Guo
Guoheng Huang
Chi-Man Pun
Shoujun Zhou
ViTMedIm
65
0
0
12 Sep 2024
Analyzing Tumors by Synthesis
Analyzing Tumors by Synthesis
Qi Chen
Yuxiang Lai
Xiaoxi Chen
Qixin Hu
Alan Yuille
Zongwei Zhou
84
3
0
09 Sep 2024
Labeled-to-Unlabeled Distribution Alignment for Partially-Supervised
  Multi-Organ Medical Image Segmentation
Labeled-to-Unlabeled Distribution Alignment for Partially-Supervised Multi-Organ Medical Image Segmentation
Xixi Jiang
Dong Zhang
Xiang Li
Kangyi Liu
Kwang-Ting Cheng
Xin Yang
OOD
62
1
0
05 Sep 2024
Diffusion-Driven Data Replay: A Novel Approach to Combat Forgetting in
  Federated Class Continual Learning
Diffusion-Driven Data Replay: A Novel Approach to Combat Forgetting in Federated Class Continual Learning
Jinglin Liang
Jin Zhong
Hanlin Gu
Zhongqi Lu
Xingxing Tang
Gang Dai
Shuangping Huang
Lixin Fan
Qiang Yang
DiffM
110
9
0
02 Sep 2024
XNet v2: Fewer Limitations, Better Results and Greater Universality
XNet v2: Fewer Limitations, Better Results and Greater Universality
Yanfeng Zhou
Lingrui Li
Zichen Wang
Guole Liu
Ziwen Liu
Ge Yang
66
1
0
02 Sep 2024
SMAFormer: Synergistic Multi-Attention Transformer for Medical Image Segmentation
SMAFormer: Synergistic Multi-Attention Transformer for Medical Image Segmentation
Fuchen Zheng
Xuhang Chen
Weihuang Liu
Haolun Li
Yingtie Lei
Jiahui He
Chi-Man Pun
Shounjun Zhou
MedIm
133
16
0
31 Aug 2024
Pre-training Everywhere: Parameter-Efficient Fine-Tuning for Medical Image Analysis via Target Parameter Pre-training
Pre-training Everywhere: Parameter-Efficient Fine-Tuning for Medical Image Analysis via Target Parameter Pre-training
Xingliang Lei
Yiwen Ye
Zhisong Wang
Ziyang Chen
Minglei Shu
Weidong (Tom) Cai
Yanning Zhang
Yong-quan Xia
106
1
0
27 Aug 2024
GenFormer -- Generated Images are All You Need to Improve Robustness of
  Transformers on Small Datasets
GenFormer -- Generated Images are All You Need to Improve Robustness of Transformers on Small Datasets
Sven Oehri
Nikolas Ebert
Ahmed Abdullah
Didier Stricker
Oliver Wasenmüller
ViT
88
6
0
26 Aug 2024
Automatic Organ and Pan-cancer Segmentation in Abdomen CT: the FLARE
  2023 Challenge
Automatic Organ and Pan-cancer Segmentation in Abdomen CT: the FLARE 2023 Challenge
Jun Ma
Yao Zhang
Song Gu
Cheng Ge
Ershuai Wang
Qin Zhou
Ziyan Huang
Pengju Lyu
Jian He
Bo Wang
89
15
0
22 Aug 2024
FedGS: Federated Gradient Scaling for Heterogeneous Medical Image
  Segmentation
FedGS: Federated Gradient Scaling for Heterogeneous Medical Image Segmentation
Philip Schutte
V. Corbetta
Regina Beets-Tan
Wilson Silva
FedML
76
0
0
21 Aug 2024
A Novel Momentum-Based Deep Learning Techniques for Medical Image
  Classification and Segmentation
A Novel Momentum-Based Deep Learning Techniques for Medical Image Classification and Segmentation
Koushik Biswas
Ridal Pal
Shaswat Patel
Debesh Jha
Meghana Karri
...
M. Antalek
Yury Velichko
Daniela Ladner
Amir Borhani
Ulas Bagci
62
1
0
11 Aug 2024
A conformalized learning of a prediction set with applications to
  medical imaging classification
A conformalized learning of a prediction set with applications to medical imaging classification
Roy Hirsch
Jacob Goldberger
MedIm
57
0
0
09 Aug 2024
Segment Anything in Medical Images and Videos: Benchmark and Deployment
Segment Anything in Medical Images and Videos: Benchmark and Deployment
Jun Ma
Sumin Kim
Feifei Li
Mohammed Baharoon
Reza Asakereh
Hongwei Lyu
Bo Wang
VLMMedIm
97
40
0
06 Aug 2024
CAF-YOLO: A Robust Framework for Multi-Scale Lesion Detection in
  Biomedical Imagery
CAF-YOLO: A Robust Framework for Multi-Scale Lesion Detection in Biomedical Imagery
Zilin Chen
Shengnan Lu
MedIm
60
3
0
04 Aug 2024
Segment anything model 2: an application to 2D and 3D medical images
Segment anything model 2: an application to 2D and 3D medical images
Haoyu Dong
Han Gu
Yaqian Chen
Jichen Yang
Yuwen Chen
Maciej A. Mazurowski
VLMMedIm
126
17
0
01 Aug 2024
MIST: A Simple and Scalable End-To-End 3D Medical Imaging Segmentation
  Framework
MIST: A Simple and Scalable End-To-End 3D Medical Imaging Segmentation Framework
Jingyao Wu
Evan Lim
T. Dang
Brayden Mi
Alex Balsells
V. Sethu
Caroline Chung
Beatrice Riviere
David T. Fuentes
VLM
72
5
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31 Jul 2024
CBCTLiTS: A Synthetic, Paired CBCT/CT Dataset For Segmentation And Style
  Transfer
CBCTLiTS: A Synthetic, Paired CBCT/CT Dataset For Segmentation And Style Transfer
M. Tschuchnig
Philipp Steininger
M. Gadermayr
22
1
0
20 Jul 2024
LIDIA: Precise Liver Tumor Diagnosis on Multi-Phase Contrast-Enhanced CT
  via Iterative Fusion and Asymmetric Contrastive Learning
LIDIA: Precise Liver Tumor Diagnosis on Multi-Phase Contrast-Enhanced CT via Iterative Fusion and Asymmetric Contrastive Learning
Wei Huang
Wei Liu
Xiaoming Zhang
Xiaoli Yin
Xu Han
...
Yu Shi
Le Lu
Ling Zhang
Lei Zhang
Ke Yan
36
0
0
18 Jul 2024
Deep Mutual Learning among Partially Labeled Datasets for Multi-Organ
  Segmentation
Deep Mutual Learning among Partially Labeled Datasets for Multi-Organ Segmentation
Xiaoyu Liu
Linhao Qu
Ziyue Xie
Yonghong Shi
Zhijian Song
66
1
0
17 Jul 2024
Swin SMT: Global Sequential Modeling in 3D Medical Image Segmentation
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Szymon Płotka
Maciej Chrabaszcz
Przemyslaw Biecek
57
2
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10 Jul 2024
FUNAvg: Federated Uncertainty Weighted Averaging for Datasets with
  Diverse Labels
FUNAvg: Federated Uncertainty Weighted Averaging for Datasets with Diverse Labels
Malte Tolle
Fernando Navarro
Sebastian Eble
Ivo Wolf
Bjoern Menze
Sandy Engelhardt
FedML
71
1
0
10 Jul 2024
xLSTM-UNet can be an Effective 2D & 3D Medical Image Segmentation
  Backbone with Vision-LSTM (ViL) better than its Mamba Counterpart
xLSTM-UNet can be an Effective 2D & 3D Medical Image Segmentation Backbone with Vision-LSTM (ViL) better than its Mamba Counterpart
Tianrun Chen
Chaotao Ding
Lanyun Zhu
Tao Xu
Deyi Ji
Yan Wang
Ying Zang
Ziyue Li
MedImMamba
107
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Robustness Testing of Black-Box Models Against CT Degradation Through
  Test-Time Augmentation
Robustness Testing of Black-Box Models Against CT Degradation Through Test-Time Augmentation
Jack Highton
Quok Zong Chong
Samuel Finestone
A. Beqiri
Julia A. Schnabel
K. Bhatia
OOD
70
1
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27 Jun 2024
Skip and Skip: Segmenting Medical Images with Prompts
Skip and Skip: Segmenting Medical Images with Prompts
Jiawei Chen
Dingkang Yang
Yuxuan Lei
Lihua Zhang
MedIm
63
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21 Jun 2024
Low-Rank Mixture-of-Experts for Continual Medical Image Segmentation
Low-Rank Mixture-of-Experts for Continual Medical Image Segmentation
Qian Chen
Lei Zhu
Hangzhou He
Xinliang Zhang
Shuang Zeng
Qiushi Ren
Yanye Lu
CLL
86
3
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19 Jun 2024
Privacy Preserving Federated Learning in Medical Imaging with
  Uncertainty Estimation
Privacy Preserving Federated Learning in Medical Imaging with Uncertainty Estimation
Nikolas Koutsoubis
Yasin Yilmaz
Ravi P. Ramachandran
M. Schabath
Ghulam Rasool
79
8
0
18 Jun 2024
Multimodal Learning With Intraoperative CBCT & Variably Aligned
  Preoperative CT Data To Improve Segmentation
Multimodal Learning With Intraoperative CBCT & Variably Aligned Preoperative CT Data To Improve Segmentation
M. Tschuchnig
Philipp Steininger
M. Gadermayr
82
0
0
17 Jun 2024
CAT: Coordinating Anatomical-Textual Prompts for Multi-Organ and Tumor
  Segmentation
CAT: Coordinating Anatomical-Textual Prompts for Multi-Organ and Tumor Segmentation
Zhongzhen Huang
Yankai Jiang
Rongzhao Zhang
Shaoting Zhang
Xiaofan Zhang
MedIm
117
5
0
11 Jun 2024
Evolution-aware VAriance (EVA) Coreset Selection for Medical Image
  Classification
Evolution-aware VAriance (EVA) Coreset Selection for Medical Image Classification
Yuxin Hong
Xiao Zhang
Xin Zhang
Joey Tianyi Zhou
93
3
0
09 Jun 2024
CCSI: Continual Class-Specific Impression for Data-free Class
  Incremental Learning
CCSI: Continual Class-Specific Impression for Data-free Class Incremental Learning
Sana Ayromlou
Teresa S. M. Tsang
Purang Abolmaesumi
Xiaoxiao Li
CLL
61
2
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09 Jun 2024
The ULS23 Challenge: a Baseline Model and Benchmark Dataset for 3D
  Universal Lesion Segmentation in Computed Tomography
The ULS23 Challenge: a Baseline Model and Benchmark Dataset for 3D Universal Lesion Segmentation in Computed Tomography
M.J.J. de Grauw
E.Th. Scholten
E. J. Smit
M.J.C.M. Rutten
M. Prokop
B. V. Ginneken
A. Hering
3DV
96
8
0
07 Jun 2024
MTS-Net: Dual-Enhanced Positional Multi-Head Self-Attention for 3D CT
  Diagnosis of May-Thurner Syndrome
MTS-Net: Dual-Enhanced Positional Multi-Head Self-Attention for 3D CT Diagnosis of May-Thurner Syndrome
Yixin Huang
Yiqi Jin
Ke Tao
Kaijian Xia
Jianfeng Gu
Lei Yu
Lan Du
Cunjian Chen
71
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From Tissue Plane to Organ World: A Benchmark Dataset for Multimodal
  Biomedical Image Registration using Deep Co-Attention Networks
From Tissue Plane to Organ World: A Benchmark Dataset for Multimodal Biomedical Image Registration using Deep Co-Attention Networks
Yifeng Wang
Weipeng Li
Thomas Pearce
Haohan Wang
OOD
45
0
0
06 Jun 2024
FreeTumor: Advance Tumor Segmentation via Large-Scale Tumor Synthesis
FreeTumor: Advance Tumor Segmentation via Large-Scale Tumor Synthesis
Linshan Wu
Jiaxin Zhuang
Xuefeng Ni
Hao Chen
MedIm
98
13
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03 Jun 2024
Quality Sentinel: Estimating Label Quality and Errors in Medical
  Segmentation Datasets
Quality Sentinel: Estimating Label Quality and Errors in Medical Segmentation Datasets
Yixiong Chen
Zongwei Zhou
Alan Yuille
81
2
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01 Jun 2024
Universal and Extensible Language-Vision Models for Organ Segmentation
  and Tumor Detection from Abdominal Computed Tomography
Universal and Extensible Language-Vision Models for Organ Segmentation and Tumor Detection from Abdominal Computed Tomography
Jie Liu
Yixiao Zhang
Kang Wang
Mehmet Can Yavuz
Xiaoxi Chen
...
Haoliang Li
Yang Yang
Alan Yuille
Yucheng Tang
Zongwei Zhou
MedImVLM
112
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Competing for pixels: a self-play algorithm for weakly-supervised
  segmentation
Competing for pixels: a self-play algorithm for weakly-supervised segmentation
Shaheer U. Saeed
Shiqi Huang
João Ramalhinho
Iani J. M. B. Gayo
Nina Montaña-Brown
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Stephen P. Pereira
Brian R. Davidson
D. Barratt
Matthew J. Clarkson
Yipeng Hu
107
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26 May 2024
MDNet: Multi-Decoder Network for Abdominal CT Organs Segmentation
MDNet: Multi-Decoder Network for Abdominal CT Organs Segmentation
Debesh Jha
Nikhil Kumar Tomar
Koushik Biswas
Gorkem Durak
M. Antalek
...
Alpay Medetalibeyoglu
Yury Velichko
Daniela Ladner
Amir Borhani
Ulas Bagci
MedIm
52
2
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10 May 2024
Explainable AI (XAI) in Image Segmentation in Medicine, Industry, and
  Beyond: A Survey
Explainable AI (XAI) in Image Segmentation in Medicine, Industry, and Beyond: A Survey
Rokas Gipiškis
Chun-Wei Tsai
Olga Kurasova
95
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02 May 2024
PAM-UNet: Shifting Attention on Region of Interest in Medical Images
PAM-UNet: Shifting Attention on Region of Interest in Medical Images
Abhijit Das
Debesh Jha
Vandan Gorade
Koushik Biswas
Hongyi Pan
Zheyu Zhang
Daniela Ladner
Yury Velichko
Amir Borhani
Ulas Bagci
59
0
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02 May 2024
A comprehensive and easy-to-use multi-domain multi-task medical imaging
  meta-dataset (MedIMeta)
A comprehensive and easy-to-use multi-domain multi-task medical imaging meta-dataset (MedIMeta)
S. Woerner
Arthur Jaques
Christian F. Baumgartner
VLM
71
4
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24 Apr 2024
PRISM: A Promptable and Robust Interactive Segmentation Model with
  Visual Prompts
PRISM: A Promptable and Robust Interactive Segmentation Model with Visual Prompts
Hao Li
Han Liu
Dewei Hu
Jiacheng Wang
I. Oguz
VLM
81
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23 Apr 2024
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