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Medical Image Segmentation Review: The success of U-Net

Medical Image Segmentation Review: The success of U-Net

IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022
27 November 2022
Reza Azad
Ehsan Khodapanah Aghdam
Amelie Rauland
Yiwei Jia
Atlas Haddadi Avval
Afshin Bozorgpour
Sanaz Karimijafarbigloo
Joseph Paul Cohen
Ehsan Adeli
Dorit Merhof
    SSeg
ArXiv (abs)PDFHTMLGithub (328★)

Papers citing "Medical Image Segmentation Review: The success of U-Net"

24 / 74 papers shown
Title
An Effective UNet Using Feature Interaction and Fusion for Organ Segmentation in Medical Image
An Effective UNet Using Feature Interaction and Fusion for Organ Segmentation in Medical Image
Xiaolin Gou
Chuanlin Liao
Jizhe Zhou
Fengshuo Ye
Yi Lin
144
0
0
09 Sep 2024
From Few to More: Scribble-based Medical Image Segmentation via Masked Context Modeling and Continuous Pseudo Labels
From Few to More: Scribble-based Medical Image Segmentation via Masked Context Modeling and Continuous Pseudo LabelsIEEE journal of biomedical and health informatics (IEEE JBHI), 2024
Zhisong Wang
Yiwen Ye
Ziyang Chen
Minglei Shu
Yanning Zhang
Yong-quan Xia
275
2
0
23 Aug 2024
Retrieval-augmented Few-shot Medical Image Segmentation with Foundation Models
Retrieval-augmented Few-shot Medical Image Segmentation with Foundation ModelsIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2024
Lin Zhao
Xiao Chen
Eric Z. Chen
Yikang Liu
Terrence Chen
Shanhui Sun
VLM
240
19
0
16 Aug 2024
Deep Learning-Based Segmentation of Tumors in PET/CT Volumes: Benchmark
  of Different Architectures and Training Strategies
Deep Learning-Based Segmentation of Tumors in PET/CT Volumes: Benchmark of Different Architectures and Training Strategies
Monika Górka
Daniel Jaworek
Marek Wodzinski
161
0
0
15 Apr 2024
LHU-Net: a Lean Hybrid U-Net for Cost-efficient, High-performance Volumetric Segmentation
LHU-Net: a Lean Hybrid U-Net for Cost-efficient, High-performance Volumetric Segmentation
Yousef Sadegheih
Afshin Bozorgpour
Pratibha Kumari
Reza Azad
Dorit Merhof
217
3
0
07 Apr 2024
Guidelines for Cerebrovascular Segmentation: Managing Imperfect
  Annotations in the context of Semi-Supervised Learning
Guidelines for Cerebrovascular Segmentation: Managing Imperfect Annotations in the context of Semi-Supervised Learning
Pierre Rougé
Pierre-Henri Conze
Nicolas Passat
Odyssée Merveille
175
1
0
02 Apr 2024
Fuzzy Rank-based Late Fusion Technique for Cytology image Segmentation
Fuzzy Rank-based Late Fusion Technique for Cytology image Segmentation
Soumyajyoti Dey
S. Chakraborty
Utso Guha Roy
Nibaran Das
135
2
0
16 Mar 2024
Segmenting Cardiac Muscle Z-disks with Deep Neural Networks
Segmenting Cardiac Muscle Z-disks with Deep Neural Networks
Mihaela Croitor Ibrahim
Nishant Ravikumar
Alistair P. Curd
Joanna Leng
Oliver Umney
Michelle Peckham
74
1
0
24 Jan 2024
MOSformer: Momentum encoder-based inter-slice fusion transformer for medical image segmentation
MOSformer: Momentum encoder-based inter-slice fusion transformer for medical image segmentation
De-Xing Huang
Xiao-Hu Zhou
Mei-Jiang Gui
Shiqi Liu
Zhen-Qiu Feng
Mei-Jiang Gui
Hao Li
Tian-Yu Xiang
Xiu-Ling Liu
MedIm
303
2
0
22 Jan 2024
Leveraging Unlabeled Data for 3D Medical Image Segmentation through
  Self-Supervised Contrastive Learning
Leveraging Unlabeled Data for 3D Medical Image Segmentation through Self-Supervised Contrastive LearningIEEE International Symposium on Biomedical Imaging (ISBI), 2023
Sanaz Karimijafarbigloo
Reza Azad
Yury Velichko
Ulas Bagci
Dorit Merhof
185
2
0
21 Nov 2023
Skin Lesion Segmentation Improved by Transformer-based Networks with
  Inter-scale Dependency Modeling
Skin Lesion Segmentation Improved by Transformer-based Networks with Inter-scale Dependency Modeling
Sania Eskandari
Janet Lumpp
Luis Gonzalo Sánchez Giraldo
ViTMedIm
127
13
0
20 Oct 2023
DA-TransUNet: Integrating Spatial and Channel Dual Attention with
  Transformer U-Net for Medical Image Segmentation
DA-TransUNet: Integrating Spatial and Channel Dual Attention with Transformer U-Net for Medical Image SegmentationFrontiers in Bioengineering and Biotechnology (Front. Bioeng. Biotechnol.), 2023
Guanqun Sun
Yizhi Pan
Weikun Kong
Zichang Xu
Jianhua Ma
Teeradaj Racharak
Le-Minh Nguyen
Junyi Xin
ViTMedIm
158
161
0
19 Oct 2023
Vision Transformers increase efficiency of 3D cardiac CT multi-label
  segmentation
Vision Transformers increase efficiency of 3D cardiac CT multi-label segmentation
Lee Jollans
Mariana Bustamante
L. Henriksson
Anders Persson
T. Ebbers
MedImViT
161
0
0
13 Oct 2023
More complex encoder is not all you need
More complex encoder is not all you need
Weibin Yang
Longwei Xu
Pengwei Wang
Dehua Geng
Yusong Li
Mingyuan Xu
Zhiqi Dong
MedIm
161
1
0
20 Sep 2023
Self-supervised Semantic Segmentation: Consistency over Transformation
Self-supervised Semantic Segmentation: Consistency over Transformation
Sanaz Karimijafarbigloo
Reza Azad
Amirhossein Kazerouni
Yury Velichko
Ulas Bagci
Dorit Merhof
236
5
0
31 Aug 2023
Beyond Self-Attention: Deformable Large Kernel Attention for Medical
  Image Segmentation
Beyond Self-Attention: Deformable Large Kernel Attention for Medical Image SegmentationIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2023
Reza Azad
Leon Niggemeier
Michael Huttemann
Amirhossein Kazerouni
Ehsan Khodapanah Aghdam
Yury Velichko
Ulas Bagci
Dorit Merhof
MedIm
260
115
0
31 Aug 2023
DermoSegDiff: A Boundary-aware Segmentation Diffusion Model for Skin
  Lesion Delineation
DermoSegDiff: A Boundary-aware Segmentation Diffusion Model for Skin Lesion Delineation
Afshin Bozorgpour
Yousef Sadegheih
Amirhossein Kazerouni
Reza Azad
Dorit Merhof
DiffMMedIm
135
47
0
05 Aug 2023
Comparative Analysis of Segment Anything Model and U-Net for Breast
  Tumor Detection in Ultrasound and Mammography Images
Comparative Analysis of Segment Anything Model and U-Net for Breast Tumor Detection in Ultrasound and Mammography ImagesInternational Conference on Climate Informatics (ICCI), 2023
Mohsen Ahmadi
Masoumeh Farhadi Nia
Sara Asgarian
Kasra Danesh
Elyas Irankhah
Ahmad Gholizadeh Lonbar
Abbas Sharifi
208
16
0
21 Jun 2023
CiT-Net: Convolutional Neural Networks Hand in Hand with Vision
  Transformers for Medical Image Segmentation
CiT-Net: Convolutional Neural Networks Hand in Hand with Vision Transformers for Medical Image SegmentationInternational Joint Conference on Artificial Intelligence (IJCAI), 2023
Tao Lei
Rui Sun
Xuan Wang
Yingbo Wang
Xi He
Asoke K. Nandi
ViTMedIm
116
23
0
06 Jun 2023
Scale-aware Super-resolution Network with Dual Affinity Learning for
  Lesion Segmentation from Medical Images
Scale-aware Super-resolution Network with Dual Affinity Learning for Lesion Segmentation from Medical ImagesIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2023
Yanwen Li
Luyang Luo
Huangjing Lin
Pheng-Ann Heng
Hao Chen
SupRSSegMedIm
90
6
0
30 May 2023
Deep Learning in Breast Cancer Imaging: A Decade of Progress and Future
  Directions
Deep Learning in Breast Cancer Imaging: A Decade of Progress and Future DirectionsIEEE Reviews in Biomedical Engineering (RBME), 2023
Luyang Luo
Xi Wang
Yi Lin
Xiaoqi Ma
Andong Tan
R. Chan
V. Vardhanabhuti
W. C. Chu
Kwang-Ting Cheng
Hao Chen
358
88
0
13 Apr 2023
Selecting the Best Optimizers for Deep Learning based Medical Image
  Segmentation
Selecting the Best Optimizers for Deep Learning based Medical Image SegmentationFrontiers in Radiology (Front. Radiol.), 2023
Aliasghar Mortazi
V. Çiçek
Elif Keles
Ulas Bagci
170
19
0
05 Feb 2023
Enhancing Medical Image Segmentation with TransCeption: A Multi-Scale
  Feature Fusion Approach
Enhancing Medical Image Segmentation with TransCeption: A Multi-Scale Feature Fusion Approach
Reza Azad
Yiwei Jia
Ehsan Khodapanah Aghdam
Julien Cohen-Adad
Dorit Merhof
ViTMedIm
151
43
0
25 Jan 2023
DAE-Former: Dual Attention-guided Efficient Transformer for Medical
  Image Segmentation
DAE-Former: Dual Attention-guided Efficient Transformer for Medical Image Segmentation
Reza Azad
René Arimond
Ehsan Khodapanah Aghdam
Amirhosein Kazerouni
Dorit Merhof
ViTMedIm
222
124
0
27 Dec 2022
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