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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
WORD: A large scale dataset, benchmark and clinical applicable study for
  abdominal organ segmentation from CT image
WORD: A large scale dataset, benchmark and clinical applicable study for abdominal organ segmentation from CT image
Xiangde Luo
Wenjun Liao
Jianghong Xiao
Jieneng Chen
Tao Song
Xiaofan Zhang
Kang Li
Dimitris N. Metaxas
Guotai Wang
Shaoting Zhang
117
131
0
03 Nov 2021
MedMNIST v2 -- A large-scale lightweight benchmark for 2D and 3D
  biomedical image classification
MedMNIST v2 -- A large-scale lightweight benchmark for 2D and 3D biomedical image classification
Jiancheng Yang
Rui Shi
D. Wei
Zequan Liu
Lin Zhao
B. Ke
Hanspeter Pfister
Bingbing Ni
VLM
323
707
0
27 Oct 2021
OSS-Net: Memory Efficient High Resolution Semantic Segmentation of 3D
  Medical Data
OSS-Net: Memory Efficient High Resolution Semantic Segmentation of 3D Medical Data
Christoph Reich
Tim Prangemeier
Ozdemir Cetin
Heinz Koeppl
68
12
0
20 Oct 2021
Adapt to Adaptation: Learning Personalization for Cross-Silo Federated
  Learning
Adapt to Adaptation: Learning Personalization for Cross-Silo Federated Learning
Jun Luo
Shandong Wu
OODMQ
150
78
0
15 Oct 2021
FedSLD: Federated Learning with Shared Label Distribution for Medical
  Image Classification
FedSLD: Federated Learning with Shared Label Distribution for Medical Image Classification
Jun Luo
Shandong Wu
OODFedML
44
30
0
15 Oct 2021
CyTran: A Cycle-Consistent Transformer with Multi-Level Consistency for
  Non-Contrast to Contrast CT Translation
CyTran: A Cycle-Consistent Transformer with Multi-Level Consistency for Non-Contrast to Contrast CT Translation
Nicolae-Cătălin Ristea
A. Miron
O. Savencu
Mariana-Iuliana Georgescu
N. Verga
Fahad Shahbaz Khan
Radu Tudor Ionescu
ViTMedIm
122
20
0
12 Oct 2021
Planning Sensing Sequences for Subsurface 3D Tumor Mapping
Planning Sensing Sequences for Subsurface 3D Tumor Mapping
Brian Y. Cho
Tucker Hermans
Alan Kuntz
51
4
0
12 Oct 2021
Robust Segmentation Models using an Uncertainty Slice Sampling Based
  Annotation Workflow
Robust Segmentation Models using an Uncertainty Slice Sampling Based Annotation Workflow
G. Chlebus
A. Schenk
Horst K. Hahn
Bram van Ginneken
H. Meine
98
9
0
30 Sep 2021
Label-Assemble: Leveraging Multiple Datasets with Partial Labels
Label-Assemble: Leveraging Multiple Datasets with Partial Labels
Mintong Kang
Bowen Li
Zengle Zhu
Yongyi Lu
Elliot K. Fishman
Alan Yuille
Zongwei Zhou
94
18
0
25 Sep 2021
Efficient Context-Aware Network for Abdominal Multi-organ Segmentation
Efficient Context-Aware Network for Abdominal Multi-organ Segmentation
Fan Zhang
Yu Wang
Hua Yang
SSegMedIm
95
22
0
22 Sep 2021
Unsupervised domain adaptation for cross-modality liver segmentation via
  joint adversarial learning and self-learning
Unsupervised domain adaptation for cross-modality liver segmentation via joint adversarial learning and self-learning
Jin Hong
S. Yu
Weitian Chen
OODMedIm
63
83
0
13 Sep 2021
Preservational Learning Improves Self-supervised Medical Image Models by
  Reconstructing Diverse Contexts
Preservational Learning Improves Self-supervised Medical Image Models by Reconstructing Diverse Contexts
Hong-Yu Zhou
Chi-Ken Lu
Sibei Yang
Xiaoguang Han
Yizhou Yu
SSLCLL
105
87
0
09 Sep 2021
Self-supervised Tumor Segmentation through Layer Decomposition
Self-supervised Tumor Segmentation through Layer Decomposition
Xiaoman Zhang
Weidi Xie
Chaoqin Huang
Yanfeng Wang
Ya Zhang
Xin Chen
Qi Tian
79
6
0
07 Sep 2021
Efficient Medical Image Segmentation Based on Knowledge Distillation
Efficient Medical Image Segmentation Based on Knowledge Distillation
Dian Qin
Jiajun Bu
Zhe Liu
Xin Shen
Sheng Zhou
Jingjun Gu
Zhihong Wang
Lei Wu
Hui-Fen Dai
74
130
0
23 Aug 2021
Multi-Slice Dense-Sparse Learning for Efficient Liver and Tumor
  Segmentation
Multi-Slice Dense-Sparse Learning for Efficient Liver and Tumor Segmentation
Ziyuan Zhao
Zeyu Ma
Yanjie Liu
Zeng Zeng
P. Chow
77
8
0
15 Aug 2021
Projective Skip-Connections for Segmentation Along a Subset of
  Dimensions in Retinal OCT
Projective Skip-Connections for Segmentation Along a Subset of Dimensions in Retinal OCT
Dmitrii Lachinov
Philipp Seeboeck
Julia Mai
U. Schmidt-Erfurth
Hrvoje Bogunović
53
19
0
02 Aug 2021
Data synthesis and adversarial networks: A review and meta-analysis in
  cancer imaging
Data synthesis and adversarial networks: A review and meta-analysis in cancer imaging
Richard Osuala
Kaisar Kushibar
Lidia Garrucho
Akis Linardos
Zuzanna Szafranowska
Stefan Klein
Ben Glocker
Oliver Díaz
Karim Lekadir
MedIm
104
45
0
20 Jul 2021
Parametric Scattering Networks
Parametric Scattering Networks
Shanel Gauthier
Benjamin Thérien
Laurent Alsene-Racicot
Muawiz Chaudhary
Irina Rish
Eugene Belilovsky
Michael Eickenberg
Guy Wolf
86
18
0
20 Jul 2021
Learning from Partially Overlapping Labels: Image Segmentation under
  Annotation Shift
Learning from Partially Overlapping Labels: Image Segmentation under Annotation Shift
Gregory Filbrandt
Konstantinos Kamnitsas
David Bernstein
Alexandra N. Taylor
Ben Glocker
72
3
0
13 Jul 2021
Anatomy-Constrained Contrastive Learning for Synthetic Segmentation
  without Ground-truth
Anatomy-Constrained Contrastive Learning for Synthetic Segmentation without Ground-truth
Bo Zhou
Chi Liu
James S. Duncan
MedIm
100
18
0
12 Jul 2021
Hierarchical Self-Supervised Learning for Medical Image Segmentation
  Based on Multi-Domain Data Aggregation
Hierarchical Self-Supervised Learning for Medical Image Segmentation Based on Multi-Domain Data Aggregation
Hao Zheng
Jun Han
Hongxiao Wang
Lin Yang
Zhuo Zhao
Chaoli Wang
Danny Chen
81
23
0
10 Jul 2021
A Systematic Collection of Medical Image Datasets for Deep Learning
A Systematic Collection of Medical Image Datasets for Deep Learning
Johann Li
Guangming Zhu
Cong Hua
Mingtao Feng
Basheer Bennamoun
...
Xu Xu
Lin Mei
Liang Zhang
Syed Afaq Ali Shah
Bennamoun
OOD
109
54
0
24 Jun 2021
Context-aware PolyUNet for Liver and Lesion Segmentation from Abdominal
  CT Images
Context-aware PolyUNet for Liver and Lesion Segmentation from Abdominal CT Images
Liping Zhang
S. Yu
42
3
0
21 Jun 2021
Domain Generalization on Medical Imaging Classification using Episodic
  Training with Task Augmentation
Domain Generalization on Medical Imaging Classification using Episodic Training with Task Augmentation
Chenxin Li
Qi Qi
Xinghao Ding
Yue Huang
Dong Liang
Yizhou Yu
OOD
56
71
0
13 Jun 2021
The Medical Segmentation Decathlon
The Medical Segmentation Decathlon
Michela Antonelli
Annika Reinke
Spyridon Bakas
Keyvan Farahani
AnnetteKopp-Schneider
...
Zhanwei Xu
Yefeng Zheng
Amber L. Simpson
Lena Maier-Hein
M. Jorge Cardoso
OOD
123
998
0
10 Jun 2021
Decoupling Shape and Density for Liver Lesion Synthesis Using
  Conditional Generative Adversarial Networks
Decoupling Shape and Density for Liver Lesion Synthesis Using Conditional Generative Adversarial Networks
Dario Augusto Borges Oliveira
GANMedIm
33
0
0
01 Jun 2021
Automatic CT Segmentation from Bounding Box Annotations using
  Convolutional Neural Networks
Automatic CT Segmentation from Bounding Box Annotations using Convolutional Neural Networks
Yuanpeng Liu
Qinglei Hui
Zhiyi Peng
S. Gong
D. Kong
49
4
0
29 May 2021
Hyper-Convolution Networks for Biomedical Image Segmentation
Hyper-Convolution Networks for Biomedical Image Segmentation
Tianyu Ma
Adrian Dalca
M. Sabuncu
SSeg
106
15
0
21 May 2021
Evaluating the Robustness of Self-Supervised Learning in Medical Imaging
Evaluating the Robustness of Self-Supervised Learning in Medical Imaging
Fernando Navarro
Christopher Watanabe
Suprosanna Shit
Anjany Sekuboyina
J. Peeken
Stephanie E. Combs
Bjoern Menze
OOD
71
20
0
14 May 2021
PocketNet: A Smaller Neural Network for Medical Image Analysis
PocketNet: A Smaller Neural Network for Medical Image Analysis
A. Celaya
Jonas A. Actor
Rajarajesawari Muthusivarajan
Evan Gates
C. Chung
Dawid Schellingerhout
B. Rivière
David T. Fuentes
SSegMedIm
58
30
0
21 Apr 2021
Free-form tumor synthesis in computed tomography images via richer
  generative adversarial network
Free-form tumor synthesis in computed tomography images via richer generative adversarial network
Qiangguo Jin
Hui Cui
Changming Sun
Zhaopeng Meng
R. Su
GANMedIm
68
44
0
20 Apr 2021
mlf-core: a framework for deterministic machine learning
mlf-core: a framework for deterministic machine learning
Lukas Heumos
Philipp Ehmele
Luis Kuhn Cuellar
Kevin Menden
Edmund Miller
Steffen Lemke
G. Gabernet
S. Nahnsen
AI4CE
49
3
0
15 Apr 2021
Anatomy-guided Multimodal Registration by Learning Segmentation without
  Ground Truth: Application to Intraprocedural CBCT/MR Liver Segmentation and
  Registration
Anatomy-guided Multimodal Registration by Learning Segmentation without Ground Truth: Application to Intraprocedural CBCT/MR Liver Segmentation and Registration
Bo Zhou
Z. Augenfeld
Julius Chapiro
S. Kevin Zhou
Chi Liu
James S. Duncan
77
49
0
14 Apr 2021
Semantic Segmentation with Generative Models: Semi-Supervised Learning
  and Strong Out-of-Domain Generalization
Semantic Segmentation with Generative Models: Semi-Supervised Learning and Strong Out-of-Domain Generalization
Daiqing Li
Junlin Yang
Karsten Kreis
Antonio Torralba
Sanja Fidler
GANMedIm
110
187
0
12 Apr 2021
Deep Implicit Statistical Shape Models for 3D Medical Image Delineation
Deep Implicit Statistical Shape Models for 3D Medical Image Delineation
Ashwin Raju
S. Miao
Mei Han
Le Lu
Junzhou Huang
Adam P. Harrison
3DVMedIm
57
33
0
07 Apr 2021
Generalized Organ Segmentation by Imitating One-shot Reasoning using
  Anatomical Correlation
Generalized Organ Segmentation by Imitating One-shot Reasoning using Anatomical Correlation
Hong-Yu Zhou
Hualuo Liu
Shilei Cao
Dong Wei
Chi-Ken Lu
Yizhou Yu
Kai Ma
Yefeng Zheng
38
8
0
30 Mar 2021
Evaluation of Preprocessing Techniques for U-Net Based Automated Liver
  Segmentation
Evaluation of Preprocessing Techniques for U-Net Based Automated Liver Segmentation
Muhammad Islam
Kaleem Nawaz Khan
Muhammad Salman Khan
27
10
0
26 Mar 2021
Task-Oriented Low-Dose CT Image Denoising
Task-Oriented Low-Dose CT Image Denoising
Jiajin Zhang
Hanqing Chao
Xuanang Xu
Chuang Niu
Ge Wang
Pingkun Yan
OODMedIm
65
18
0
25 Mar 2021
Spatially Dependent U-Nets: Highly Accurate Architectures for Medical
  Imaging Segmentation
Spatially Dependent U-Nets: Highly Accurate Architectures for Medical Imaging Segmentation
João B. S. Carvalho
J. Santinha
DJordje Miladinović
J. M. Buhmann
SSeg
49
0
0
22 Mar 2021
Automated liver tissues delineation techniques: A systematic survey on
  machine learning current trends and future orientations
Automated liver tissues delineation techniques: A systematic survey on machine learning current trends and future orientations
Ayman Al-Kababji
F. Bensaali
S. Dakua
Yassine Himeur
68
23
0
10 Mar 2021
Are we using appropriate segmentation metrics? Identifying correlates of
  human expert perception for CNN training beyond rolling the DICE coefficient
Are we using appropriate segmentation metrics? Identifying correlates of human expert perception for CNN training beyond rolling the DICE coefficient
Florian Kofler
Ivan Ezhov
Fabian Isensee
F. Balsiger
Christoph Berger
...
C. Zimmer
D. Ankerst
Jan Kirschke
Benedikt Wiestler
Bjoern Menze
89
52
0
10 Mar 2021
Liver Fibrosis and NAS scoring from CT images using self-supervised
  learning and texture encoding
Liver Fibrosis and NAS scoring from CT images using self-supervised learning and texture encoding
Ananya Jana
Hui Qu
Carlos D Minacapelli
C. Catalano
V. Rustgi
Dimitris N. Metaxas
MedIm
67
8
0
05 Mar 2021
ASC-Net : Adversarial-based Selective Network for Unsupervised Anomaly
  Segmentation
ASC-Net : Adversarial-based Selective Network for Unsupervised Anomaly Segmentation
Raunak Dey
Yi Hong
57
19
0
05 Mar 2021
Medical Image Segmentation with Limited Supervision: A Review of Deep
  Network Models
Medical Image Segmentation with Limited Supervision: A Review of Deep Network Models
Jialin Peng
Ye Wang
VLM
104
60
0
28 Feb 2021
PA-ResSeg: A Phase Attention Residual Network for Liver Tumor
  Segmentation from Multi-phase CT Images
PA-ResSeg: A Phase Attention Residual Network for Liver Tumor Segmentation from Multi-phase CT Images
Yingying Xu
Ming Cai
Lanfen Lin
Yue Zhang
Hongjie Hu
...
Xiongwei Mao
Yutaro Iwamoto
Xianhua Han
Yenwei Chen
Ruofeng Tong
MedIm
35
41
0
27 Feb 2021
MixSearch: Searching for Domain Generalized Medical Image Segmentation
  Architectures
MixSearch: Searching for Domain Generalized Medical Image Segmentation Architectures
Luyan Liu
Zhiwei Wen
Songwei Liu
Hong-Yu Zhou
Hongwei Zhu
Weicheng Xie
Linlin Shen
Kai Ma
Yefeng Zheng
65
7
0
26 Feb 2021
Multi-Slice Low-Rank Tensor Decomposition Based Multi-Atlas
  Segmentation: Application to Automatic Pathological Liver CT Segmentation
Multi-Slice Low-Rank Tensor Decomposition Based Multi-Atlas Segmentation: Application to Automatic Pathological Liver CT Segmentation
Changfa Shi
Min Xian
Xiancheng Zhou
Haotian Wang
Heng-Da Cheng
70
19
0
24 Feb 2021
Transferable Visual Words: Exploiting the Semantics of Anatomical
  Patterns for Self-supervised Learning
Transferable Visual Words: Exploiting the Semantics of Anatomical Patterns for Self-supervised Learning
F. Haghighi
M. Taher
Zongwei Zhou
Michael B. Gotway
Jianming Liang
MedIm
95
107
0
21 Feb 2021
Unsupervised Medical Image Alignment with Curriculum Learning
Unsupervised Medical Image Alignment with Curriculum Learning
Mihail Burduja
Radu Tudor Ionescu
66
12
0
20 Feb 2021
Domain Adaptation for Medical Image Analysis: A Survey
Domain Adaptation for Medical Image Analysis: A Survey
Hao Guan
Mingxia Liu
OOD
147
563
0
18 Feb 2021
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