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The Liver Tumor Segmentation Benchmark (LiTS)

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
X. 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 H. Menze
ArXivPDFHTML

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

50 / 91 papers shown
Title
Rethinking Boundary Detection in Deep Learning-Based Medical Image Segmentation
Rethinking Boundary Detection in Deep Learning-Based Medical Image Segmentation
Yi-Mou Lin
Dong-Ming Zhang
X. B. Fang
Yufan Chen
K.-T. Cheng
Hao Chen
28
0
0
06 May 2025
Uncertainty Quantification for Machine Learning in Healthcare: A Survey
Uncertainty Quantification for Machine Learning in Healthcare: A Survey
L. J. L. Lopez
Shaza Elsharief
Dhiyaa Al Jorf
Firas Darwish
Congbo Ma
Farah E. Shamout
73
0
0
04 May 2025
Class Imbalance Correction for Improved Universal Lesion Detection and Tagging in CT
Class Imbalance Correction for Improved Universal Lesion Detection and Tagging in CT
Peter D. Erickson
T. Mathai
Ronald M. Summers
42
4
0
08 Apr 2025
3D Universal Lesion Detection and Tagging in CT with Self-Training
3D Universal Lesion Detection and Tagging in CT with Self-Training
Jared Frazier
T. Mathai
Jianfei Liu
Angshuman Paul
Ronald M. Summers
35
2
0
07 Apr 2025
The Coralscapes Dataset: Semantic Scene Understanding in Coral Reefs
The Coralscapes Dataset: Semantic Scene Understanding in Coral Reefs
Jonathan Sauder
Viktor Domazetoski
G. Banc-Prandi
Gabriela Perna
Anders Meibom
D. Tuia
50
0
0
25 Mar 2025
A Reverse Mamba Attention Network for Pathological Liver Segmentation
A Reverse Mamba Attention Network for Pathological Liver Segmentation
Jun Zeng
Debesh Jha
Ertugrul Aktas
Elif Keles
A. Medetalibeyoğlu
...
Robert Lewandowski
Daniela Ladner
Amir Borhani
Gorkem Durak
Ulas Bagci
Mamba
49
1
0
23 Feb 2025
Why does my medical AI look at pictures of birds? Exploring the efficacy of transfer learning across domain boundaries
Why does my medical AI look at pictures of birds? Exploring the efficacy of transfer learning across domain boundaries
F. Jonske
M. Kim
Enrico Nasca
J. Evers
Johannes Haubold
...
F. Nensa
Michael Kamp
C. Seibold
Jan Egger
Jens Kleesiek
79
1
0
17 Feb 2025
Cross-D Conv: Cross-Dimensional Transferable Knowledge Base via Fourier Shifting Operation
Cross-D Conv: Cross-Dimensional Transferable Knowledge Base via Fourier Shifting Operation
Mehmet Can Yavuz
Yang Yang
MedIm
35
0
0
28 Jan 2025
How Well Do Supervised 3D Models Transfer to Medical Imaging Tasks?
How Well Do Supervised 3D Models Transfer to Medical Imaging Tasks?
Wenxuan Li
Alan L. Yuille
Zongwei Zhou
MedIm
41
8
0
20 Jan 2025
A Comprehensive Survey of Foundation Models in Medicine
A Comprehensive Survey of Foundation Models in Medicine
Wasif Khan
Seowung Leem
Kyle B. See
Joshua K. Wong
Shaoting Zhang
R. Fang
AI4CE
LM&MA
VLM
97
18
0
17 Jan 2025
Enhancing the automatic segmentation and analysis of 3D liver vasculature models
Enhancing the automatic segmentation and analysis of 3D liver vasculature models
Yassine Machta
Omar S. Ali
Kevin Hakkakian
Ana Vlascenau
Amaury Facque
Nicolas Golse
I. Vignon-Clementel
76
0
0
24 Nov 2024
A Novel Automatic Real-time Motion Tracking Method for Magnetic Resonance Imaging-guided Radiotherapy: Leveraging the Enhanced Tracking-Learning-Detection Framework with Automatic Segmentation
A Novel Automatic Real-time Motion Tracking Method for Magnetic Resonance Imaging-guided Radiotherapy: Leveraging the Enhanced Tracking-Learning-Detection Framework with Automatic Segmentation
Shengqi Chen
Zilin Wang
Jianrong Dai
Shirui Qin
Ying Cao
Ruiao Zhao
J. Chen
Guohua Wu
Yuan Tang
28
1
0
12 Nov 2024
From Generalist to Specialist: Adapting Vision Language Models via
  Task-Specific Visual Instruction Tuning
From Generalist to Specialist: Adapting Vision Language Models via Task-Specific Visual Instruction Tuning
Yang Bai
Yang Zhou
Jun Zhou
Rick Siow Mong Goh
Daniel Ting
Yong Liu
VLM
44
0
0
09 Oct 2024
DB-SAM: Delving into High Quality Universal Medical Image Segmentation
DB-SAM: Delving into High Quality Universal Medical Image Segmentation
Chao Qin
Jiale Cao
H. Fu
F. Khan
Rao Muhammad Anwer
MedIm
33
5
0
05 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
49
0
0
02 Oct 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
35
7
0
02 Sep 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
24
0
0
17 Jun 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
...
A. Medetalibeyoğlu
Yury Velichko
Daniela Ladner
Amir Borhani
Ulas Bagci
MedIm
27
1
0
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
52
5
0
02 May 2024
Embarrassingly Simple Scribble Supervision for 3D Medical Segmentation
Embarrassingly Simple Scribble Supervision for 3D Medical Segmentation
Karol Gotkowski
Carsten T. Lüth
Paul F. Jäger
Sebastian Ziegler
Lars Krämer
Stefan Denner
Shuhan Xiao
Nico Disch
Klaus H. Maier-Hein
Fabian Isensee
34
3
0
19 Mar 2024
Adapting Visual-Language Models for Generalizable Anomaly Detection in
  Medical Images
Adapting Visual-Language Models for Generalizable Anomaly Detection in Medical Images
Chaoqin Huang
Aofan Jiang
Jinghao Feng
Ya-Qin Zhang
Xinchao Wang
Yanfeng Wang
MedIm
40
25
0
19 Mar 2024
Exploiting Liver CT scans in Colorectal Carcinoma genomics mutation
  classification
Exploiting Liver CT scans in Colorectal Carcinoma genomics mutation classification
Daniele Perlo
L. Berton
Alessia Delpiano
Francesca Menchini
S. Tibaldi
M. Grosso
P. Fonio
19
0
0
25 Jan 2024
CT Liver Segmentation via PVT-based Encoding and Refined Decoding
CT Liver Segmentation via PVT-based Encoding and Refined Decoding
Debesh Jha
Nikhil Kumar Tomar
Koushik Biswas
Gorkem Durak
A. Medetalibeyoğlu
M. Antalek
Yury Velichko
Daniela Ladner
Amir Borhani
Ulas Bagci
ViT
MedIm
26
7
0
17 Jan 2024
How to Efficiently Annotate Images for Best-Performing Deep Learning Based Segmentation Models: An Empirical Study with Weak and Noisy Annotations and Segment Anything Model
How to Efficiently Annotate Images for Best-Performing Deep Learning Based Segmentation Models: An Empirical Study with Weak and Noisy Annotations and Segment Anything Model
Yixin Zhang
Shen Zhao
Han Gu
Maciej Mazurowski
VLM
30
4
0
17 Dec 2023
SegVol: Universal and Interactive Volumetric Medical Image Segmentation
SegVol: Universal and Interactive Volumetric Medical Image Segmentation
Yuxin Du
Fan Bai
Tiejun Huang
Bo-Lu Zhao
VLM
28
38
0
22 Nov 2023
On the Out-of-Distribution Coverage of Combining Split Conformal
  Prediction and Bayesian Deep Learning
On the Out-of-Distribution Coverage of Combining Split Conformal Prediction and Bayesian Deep Learning
Paul Scemama
Ariel Kapusta
32
0
0
21 Nov 2023
Abdominal multi-organ segmentation in CT using Swinunter
Abdominal multi-organ segmentation in CT using Swinunter
Mingjin Chen
Yongkang He
Yongyi Lu
ViT
OOD
MedIm
16
0
0
28 Sep 2023
FourierLoss: Shape-Aware Loss Function with Fourier Descriptors
FourierLoss: Shape-Aware Loss Function with Fourier Descriptors
Mehmet Bahadir Erden
Selahattin Cansiz
Onur Çakı
Haya Khattak
D. Etiz
M. Yakar
K. Duruer
Berke Barut
Cigdem Demir
OOD
MedIm
15
0
0
21 Sep 2023
Towards Optimal Patch Size in Vision Transformers for Tumor Segmentation
Towards Optimal Patch Size in Vision Transformers for Tumor Segmentation
Ramtin Mojtahedi
M. Hamghalam
Richard K G Do
Amber L. Simpson
ViT
MedIm
12
7
0
31 Aug 2023
Attention-based CT Scan Interpolation for Lesion Segmentation of
  Colorectal Liver Metastases
Attention-based CT Scan Interpolation for Lesion Segmentation of Colorectal Liver Metastases
M. Hamghalam
Richard K G Do
Amber L. Simpson
MedIm
16
4
0
30 Aug 2023
LatentDR: Improving Model Generalization Through Sample-Aware Latent
  Degradation and Restoration
LatentDR: Improving Model Generalization Through Sample-Aware Latent Degradation and Restoration
Ran Liu
Sahil Khose
Jingyun Xiao
Lakshmi Sathidevi
Keerthan Ramnath
Z. Kira
Eva L. Dyer
19
3
0
28 Aug 2023
CARE: A Large Scale CT Image Dataset and Clinical Applicable Benchmark
  Model for Rectal Cancer Segmentation
CARE: A Large Scale CT Image Dataset and Clinical Applicable Benchmark Model for Rectal Cancer Segmentation
Han-Di Zhang
Wei-Ting Guo
Chenyang Qiu
Shouhong Wan
Bingbing Zou
Wanqin Wang
Peiquan Jin
6
4
0
16 Aug 2023
Redesigning Out-of-Distribution Detection on 3D Medical Images
Redesigning Out-of-Distribution Detection on 3D Medical Images
A. Vasiliuk
Daria Frolova
Mikhail Belyaev
B. Shirokikh
OOD
18
5
0
07 Aug 2023
L3DMC: Lifelong Learning using Distillation via Mixed-Curvature Space
L3DMC: Lifelong Learning using Distillation via Mixed-Curvature Space
Kaushik Roy
Peyman Moghadam
Mehrtash Harandi
22
6
0
31 Jul 2023
AC-Norm: Effective Tuning for Medical Image Analysis via Affine
  Collaborative Normalization
AC-Norm: Effective Tuning for Medical Image Analysis via Affine Collaborative Normalization
Chuyan Zhang
Yuncheng Yang
Hao Zheng
Yun Gu
24
0
0
28 Jul 2023
Foundational Models Defining a New Era in Vision: A Survey and Outlook
Foundational Models Defining a New Era in Vision: A Survey and Outlook
Muhammad Awais
Muzammal Naseer
Salman Khan
Rao Muhammad Anwer
Hisham Cholakkal
M. Shah
Ming Yang
F. Khan
VLM
22
117
0
25 Jul 2023
Liver Tumor Screening and Diagnosis in CT with Pixel-Lesion-Patient
  Network
Liver Tumor Screening and Diagnosis in CT with Pixel-Lesion-Patient Network
K. Yan
Xiaoli Yin
Yingda Xia
Fakai Wang
Shu Wang
...
Xiaoyu Bai
Jingren Zhou
Ling Zhang
Le Lu
Yu Shi
MedIm
25
5
0
17 Jul 2023
3D Medical Image Segmentation based on multi-scale MPU-Net
3D Medical Image Segmentation based on multi-scale MPU-Net
Zeqiu Yu
Shuo Han
Ziheng Song
3DV
11
3
0
11 Jul 2023
Segment Anything Model for Medical Image Analysis: an Experimental Study
Segment Anything Model for Medical Image Analysis: an Experimental Study
Maciej Mazurowski
Haoyu Dong
Han Gu
Jichen Yang
N. Konz
Yixin Zhang
MedIm
VLM
28
467
0
20 Apr 2023
Tailored Multi-Organ Segmentation with Model Adaptation and Ensemble
Tailored Multi-Organ Segmentation with Model Adaptation and Ensemble
Jiahua Dong
Guohua Cheng
Yue Zhang
Chengtao Peng
Yu Song
Ruofeng Tong
Lanfen Lin
Yen-Wei Chen
24
0
0
14 Apr 2023
Few-shot Class-incremental Learning for Cross-domain Disease
  Classification
Few-shot Class-incremental Learning for Cross-domain Disease Classification
Han Yang
Weijian Huang
Jiarun Liu
Cheng Li
Shanshan Wang
CLL
29
4
0
12 Apr 2023
FMG-Net and W-Net: Multigrid Inspired Deep Learning Architectures For
  Medical Imaging Segmentation
FMG-Net and W-Net: Multigrid Inspired Deep Learning Architectures For Medical Imaging Segmentation
A. Celaya
B. Rivière
David T. Fuentes
6
4
0
05 Apr 2023
Towards Foundation Models and Few-Shot Parameter-Efficient Fine-Tuning for Volumetric Organ Segmentation
Towards Foundation Models and Few-Shot Parameter-Efficient Fine-Tuning for Volumetric Organ Segmentation
Julio Silva-Rodríguez
Jose Dolz
Ismail Ben Ayed
57
12
0
29 Mar 2023
Towards Simultaneous Segmentation of Liver Tumors and Intrahepatic
  Vessels via Cross-attention Mechanism
Towards Simultaneous Segmentation of Liver Tumors and Intrahepatic Vessels via Cross-attention Mechanism
Haopeng Kuang
Dingkang Yang
Shunli Wang
Xiaoying Wang
Lihua Zhang
MedIm
27
11
0
20 Feb 2023
Multi-organ segmentation: a progressive exploration of learning
  paradigms under scarce annotation
Multi-organ segmentation: a progressive exploration of learning paradigms under scarce annotation
Shiman Li
Haoran Wang
Yucong Meng
Chenxi Zhang
Zhijian Song
27
6
0
07 Feb 2023
CancerUniT: Towards a Single Unified Model for Effective Detection,
  Segmentation, and Diagnosis of Eight Major Cancers Using a Large Collection
  of CT Scans
CancerUniT: Towards a Single Unified Model for Effective Detection, Segmentation, and Diagnosis of Eight Major Cancers Using a Large Collection of CT Scans
Jieneng Chen
Yingda Xia
Jiawen Yao
K. Yan
Jianpeng Zhang
...
Xin Chen
Jingren Zhou
Alan Yuille
Zai-De Liu
Ling Zhang
ViT
MedIm
28
15
0
28 Jan 2023
Spatially Covariant Lesion Segmentation
Spatially Covariant Lesion Segmentation
Hang Zhang
Rongguang Wang
Jinwei Zhang
Dongdong Liu
Chao Li
Jiahao Nick Li
MedIm
29
7
0
19 Jan 2023
CLIP-Driven Universal Model for Organ Segmentation and Tumor Detection
CLIP-Driven Universal Model for Organ Segmentation and Tumor Detection
Jie Liu
Yixiao Zhang
Jieneng Chen
Junfei Xiao
Yongyi Lu
Bennett A. Landman
Yixuan Yuan
Alan Yuille
Yucheng Tang
Zongwei Zhou
VLM
MedIm
39
193
0
02 Jan 2023
PCRLv2: A Unified Visual Information Preservation Framework for
  Self-supervised Pre-training in Medical Image Analysis
PCRLv2: A Unified Visual Information Preservation Framework for Self-supervised Pre-training in Medical Image Analysis
Hong-Yu Zhou
Chi-Ken Lu
Chaoqi Chen
Sibei Yang
Yizhou Yu
32
52
0
02 Jan 2023
Context Label Learning: Improving Background Class Representations in
  Semantic Segmentation
Context Label Learning: Improving Background Class Representations in Semantic Segmentation
Zeju Li
Konstantinos Kamnitsas
C. Ouyang
Chen Chen
Ben Glocker
VLM
25
6
0
16 Dec 2022
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