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A large annotated medical image dataset for the development and
  evaluation of segmentation algorithms

A large annotated medical image dataset for the development and evaluation of segmentation algorithms

25 February 2019
Amber L. Simpson
Michela Antonelli
Spyridon Bakas
Michel Bilello
Keyvan Farahani
Bram van Ginneken
A. Kopp-Schneider
Bennett A. Landman
G. Litjens
Bjoern H. Menze
Olaf Ronneberger
Ronald M. Summers
Patrick Bilic
P. Christ
Richard K G Do
M. Gollub
Jennifer S. Goli Pernicka
S. Heckers
William R. Jarnagin
M. McHugo
S. Napel
Eugene Vorontsov
Lena Maier-Hein
M. Jorge Cardoso
ArXivPDFHTML

Papers citing "A large annotated medical image dataset for the development and evaluation of segmentation algorithms"

50 / 115 papers shown
Title
Advancing 3D Medical Image Segmentation: Unleashing the Potential of Planarian Neural Networks in Artificial Intelligence
Advancing 3D Medical Image Segmentation: Unleashing the Potential of Planarian Neural Networks in Artificial Intelligence
Ziyuan Huang
Kevin Huggins
Srikar Bellur
3DV
44
0
0
07 May 2025
A Dual-Task Synergy-Driven Generalization Framework for Pancreatic Cancer Segmentation in CT Scans
A Dual-Task Synergy-Driven Generalization Framework for Pancreatic Cancer Segmentation in CT Scans
Jun Li
Y. Zhang
Haibo Shi
Minhong Li
Qiwei Li
Xiaohua Qian
MedIm
31
0
0
03 May 2025
MaskAttn-UNet: A Mask Attention-Driven Framework for Universal Low-Resolution Image Segmentation
MaskAttn-UNet: A Mask Attention-Driven Framework for Universal Low-Resolution Image Segmentation
Anzhe Cheng
Chenzhong Yin
Yu Chang
Heng Ping
Shixuan Li
Shahin Nazarian
Paul Bogdan
SSeg
86
0
0
11 Mar 2025
Conditional diffusion model with spatial attention and latent embedding for medical image segmentation
Conditional diffusion model with spatial attention and latent embedding for medical image segmentation
Behzad Hejrati
Soumyanil Banerjee
C. Glide-Hurst
Ming Dong
DiffM
MedIm
112
0
0
21 Feb 2025
E2ENet: Dynamic Sparse Feature Fusion for Accurate and Efficient 3D Medical Image Segmentation
E2ENet: Dynamic Sparse Feature Fusion for Accurate and Efficient 3D Medical Image Segmentation
Boqian Wu
Q. Xiao
Shiwei Liu
Lu Yin
Mykola Pechenizkiy
D. Mocanu
M. V. Keulen
Elena Mocanu
MedIm
53
4
0
20 Feb 2025
Mesh2SSM++: A Probabilistic Framework for Unsupervised Learning of Statistical Shape Model of Anatomies from Surface Meshes
Mesh2SSM++: A Probabilistic Framework for Unsupervised Learning of Statistical Shape Model of Anatomies from Surface Meshes
Krithika S. Iyer
Mokshagna Sai Teja Karanam
Shireen Elhabian
64
0
0
11 Feb 2025
Revisiting MAE pre-training for 3D medical image segmentation
Revisiting MAE pre-training for 3D medical image segmentation
Tassilo Wald
Constantin Ulrich
Stanislav Lukyanenko
Andrei Goncharov
Alberto Paderno
Leander Maerkisch
Paul F. Jäger
Paul F. Jäger
Klaus Maier-Hein
42
2
0
30 Oct 2024
MedDiff-FM: A Diffusion-based Foundation Model for Versatile Medical
  Image Applications
MedDiff-FM: A Diffusion-based Foundation Model for Versatile Medical Image Applications
Yongrui Yu
Yannian Gu
S. Zhang
Xiaofan Zhang
MedIm
36
2
0
20 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
Data Diet: Can Trimming PET/CT Datasets Enhance Lesion Segmentation?
Data Diet: Can Trimming PET/CT Datasets Enhance Lesion Segmentation?
A. Jaus
Simon Reiß
Jens Klesiek
Rainer Stiefelhagen
3DPC
11
0
0
20 Sep 2024
Masked Image Modeling: A Survey
Masked Image Modeling: A Survey
Vlad Hondru
Florinel-Alin Croitoru
Shervin Minaee
Radu Tudor Ionescu
N. Sebe
64
6
0
13 Aug 2024
AI Radiologist: Revolutionizing Liver Tissue Segmentation with
  Convolutional Neural Networks and a Clinician-Friendly GUI
AI Radiologist: Revolutionizing Liver Tissue Segmentation with Convolutional Neural Networks and a Clinician-Friendly GUI
Ayman Al-Kababji
F. Bensaali
S. Dakua
Yassine Himeur
MedIm
36
0
0
11 Jun 2024
SR4ZCT: Self-supervised Through-plane Resolution Enhancement for CT
  Images with Arbitrary Resolution and Overlap
SR4ZCT: Self-supervised Through-plane Resolution Enhancement for CT Images with Arbitrary Resolution and Overlap
Jiayang Shi
D. Pelt
K. Batenburg
24
0
0
03 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
MiM: Mask in Mask Self-Supervised Pre-Training for 3D Medical Image Analysis
MiM: Mask in Mask Self-Supervised Pre-Training for 3D Medical Image Analysis
Jiaxin Zhuang
Linshan Wu
Qiong Wang
V. Vardhanabhuti
Lin Luo
Hao Chen
Hao Chen
49
4
0
24 Apr 2024
Learning Low-Rank Feature for Thorax Disease Classification
Learning Low-Rank Feature for Thorax Disease Classification
Rajeev Goel
Utkarsh Nath
Yancheng Wang
Alvin C. Silva
Teresa Wu
Yingzhen Yang
20
0
0
14 Feb 2024
Assessing Uncertainty Estimation Methods for 3D Image Segmentation under
  Distribution Shifts
Assessing Uncertainty Estimation Methods for 3D Image Segmentation under Distribution Shifts
Masoumeh Javanbakhat
Md Tasnimul Hasan
Cristoph Lippert
UQCV
OOD
21
1
0
10 Feb 2024
Masked LoGoNet: Fast and Accurate 3D Image Analysis for Medical Domain
Masked LoGoNet: Fast and Accurate 3D Image Analysis for Medical Domain
Amin Karimi Monsefi
Payam Karisani
Mengxi Zhou
Stacey S. Choi
Nathan Doble
Heng Ji
Srinivasan Parthasarathy
R. Ramnath
41
5
0
09 Feb 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
Feature Extraction for Generative Medical Imaging Evaluation: New
  Evidence Against an Evolving Trend
Feature Extraction for Generative Medical Imaging Evaluation: New Evidence Against an Evolving Trend
M. Woodland
Austin Castelo
Mais Al Taie
Jessica Albuquerque Marques Silva
Mohamed Eltaher
...
Austin Castelo
Suprateek Kundu
Joshua P. Yung
Ankit B. Patel
Kristy K. Brock
MedIm
AAML
30
10
0
22 Nov 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
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
SAM3D: Segment Anything Model in Volumetric Medical Images
SAM3D: Segment Anything Model in Volumetric Medical Images
Nhat-Tan Bui
Dinh-Hieu Hoang
Minh-Triet Tran
Gianfranco Doretto
Donald Adjeroh
Brijesh Patel
Arabinda Choudhary
Ngan Le
MedIm
29
39
0
07 Sep 2023
M3D-NCA: Robust 3D Segmentation with Built-in Quality Control
M3D-NCA: Robust 3D Segmentation with Built-in Quality Control
John Kalkhof
Anirban Mukhopadhyay
11
10
0
06 Sep 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
Towards Unifying Anatomy Segmentation: Automated Generation of a
  Full-body CT Dataset via Knowledge Aggregation and Anatomical Guidelines
Towards Unifying Anatomy Segmentation: Automated Generation of a Full-body CT Dataset via Knowledge Aggregation and Anatomical Guidelines
A. Jaus
C. Seibold
Kelsey Hermann
Alexandra Walter
K. Giske
Johannes Haubold
Jens Kleesiek
Rainer Stiefelhagen
28
19
0
25 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
Modality-Agnostic Learning for Medical Image Segmentation Using
  Multi-modality Self-distillation
Modality-Agnostic Learning for Medical Image Segmentation Using Multi-modality Self-distillation
Qisheng He
Nicholas Summerfield
Ming Dong
C. Glide-Hurst
19
1
0
06 Jun 2023
Physics-Informed Computer Vision: A Review and Perspectives
Physics-Informed Computer Vision: A Review and Perspectives
C. Banerjee
Kien Nguyen
Clinton Fookes
G. Karniadakis
PINN
AI4CE
30
27
0
29 May 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
Localise to segment: crop to improve organ at risk segmentation accuracy
Localise to segment: crop to improve organ at risk segmentation accuracy
Abraham George Smith
Denis Kutnár
I. Vogelius
S. Darkner
Jens Petersen
SSeg
25
2
0
10 Apr 2023
CuNeRF: Cube-Based Neural Radiance Field for Zero-Shot Medical Image
  Arbitrary-Scale Super Resolution
CuNeRF: Cube-Based Neural Radiance Field for Zero-Shot Medical Image Arbitrary-Scale Super Resolution
Zixuan Chen
Jianhuang Lai
Lingxiao Yang
Xiaohua Xie
MedIm
19
28
0
28 Mar 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
UnICLAM:Contrastive Representation Learning with Adversarial Masking for
  Unified and Interpretable Medical Vision Question Answering
UnICLAM:Contrastive Representation Learning with Adversarial Masking for Unified and Interpretable Medical Vision Question Answering
Chenlu Zhan
Peng Peng
Hongsen Wang
Tao Chen
Hongwei Wang
MedIm
18
3
0
21 Dec 2022
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
UNETR++: Delving into Efficient and Accurate 3D Medical Image
  Segmentation
UNETR++: Delving into Efficient and Accurate 3D Medical Image Segmentation
Abdelrahman M. Shaker
Muhammad Maaz
H. Rasheed
Salman Khan
Ming Yang
F. Khan
MedIm
24
129
0
08 Dec 2022
Membership Inference Attacks Against Semantic Segmentation Models
Membership Inference Attacks Against Semantic Segmentation Models
Tomás Chobola
Dmitrii Usynin
Georgios Kaissis
MIACV
11
6
0
02 Dec 2022
Attribution-based XAI Methods in Computer Vision: A Review
Attribution-based XAI Methods in Computer Vision: A Review
Kumar Abhishek
Deeksha Kamath
27
16
0
27 Nov 2022
Open-Source Skull Reconstruction with MONAI
Open-Source Skull Reconstruction with MONAI
Jianning Li
André Ferreira
B. Puladi
Victor Alves
Michael Kamp
Moon S. Kim
F. Nensa
Jens Kleesiek
Seyed-Ahmad Ahmadi
Jan Egger
19
1
0
25 Nov 2022
A Radiogenomics Pipeline for Lung Nodules Segmentation and Prediction of
  EGFR Mutation Status from CT Scans
A Radiogenomics Pipeline for Lung Nodules Segmentation and Prediction of EGFR Mutation Status from CT Scans
Ivo Gollini Navarrete
Mohammad Yaqub
16
3
0
12 Nov 2022
Theoretical analysis and experimental validation of volume bias of soft
  Dice optimized segmentation maps in the context of inherent uncertainty
Theoretical analysis and experimental validation of volume bias of soft Dice optimized segmentation maps in the context of inherent uncertainty
J. Bertels
D. Robben
Dirk Vandermeulen
P. Suetens
22
19
0
08 Nov 2022
How precise are performance estimates for typical medical image
  segmentation tasks?
How precise are performance estimates for typical medical image segmentation tasks?
Rosana El Jurdi
O. Colliot
UQCV
15
6
0
26 Oct 2022
Evaluating the Performance of StyleGAN2-ADA on Medical Images
Evaluating the Performance of StyleGAN2-ADA on Medical Images
M. Woodland
J. Wood
B. Anderson
Suprateek Kundu
E. Lin
...
S. Yedururi
Briand De
Yuan-Mao Lin
Ankit B. Patel
Kristy K. Brock
MedIm
24
22
0
07 Oct 2022
APAUNet: Axis Projection Attention UNet for Small Target in 3D Medical
  Segmentation
APAUNet: Axis Projection Attention UNet for Small Target in 3D Medical Segmentation
Yuncheng Jiang
Zixun Zhang
Shixi Qin
Yao Guo
Zhuguo Li
Shuguang Cui
32
12
0
04 Oct 2022
3D Cross-Pseudo Supervision (3D-CPS): A semi-supervised nnU-Net
  architecture for abdominal organ segmentation
3D Cross-Pseudo Supervision (3D-CPS): A semi-supervised nnU-Net architecture for abdominal organ segmentation
Yo-Ping Huang
Han Zhang
Yan Yan
Haseeb Hassan
11
3
0
19 Sep 2022
Warm Start Active Learning with Proxy Labels \& Selection via
  Semi-Supervised Fine-Tuning
Warm Start Active Learning with Proxy Labels \& Selection via Semi-Supervised Fine-Tuning
V. Nath
Dong Yang
H. Roth
Daguang Xu
34
25
0
13 Sep 2022
Split-U-Net: Preventing Data Leakage in Split Learning for Collaborative
  Multi-Modal Brain Tumor Segmentation
Split-U-Net: Preventing Data Leakage in Split Learning for Collaborative Multi-Modal Brain Tumor Segmentation
H. Roth
Ali Hatamizadeh
Ziyue Xu
Can Zhao
Wenqi Li
Andriy Myronenko
Daguang Xu
FedML
31
9
0
22 Aug 2022
Improved Pancreatic Tumor Detection by Utilizing Clinically-Relevant
  Secondary Features
Improved Pancreatic Tumor Detection by Utilizing Clinically-Relevant Secondary Features
Christiaan G. A. Viviers
Mark Ramaekers
Peter H. N. de With
Dimitrios Mavroeidis
Joost Nederend
M. Luyer
Fons van der Sommen
27
8
0
06 Aug 2022
Task-agnostic Continual Hippocampus Segmentation for Smooth Population
  Shifts
Task-agnostic Continual Hippocampus Segmentation for Smooth Population Shifts
Camila González
Amin Ranem
Ahmed Othman
Anirban Mukhopadhyay
OOD
13
7
0
05 Aug 2022
Learning with Limited Annotations: A Survey on Deep Semi-Supervised
  Learning for Medical Image Segmentation
Learning with Limited Annotations: A Survey on Deep Semi-Supervised Learning for Medical Image Segmentation
Rushi Jiao
Yichi Zhang
Leiting Ding
Rong Cai
Jicong Zhang
21
151
0
28 Jul 2022
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