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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

28 July 2022
Rushi Jiao
Yichi Zhang
Leiting Ding
Rong Cai
Jicong Zhang
ArXivPDFHTML

Papers citing "Learning with Limited Annotations: A Survey on Deep Semi-Supervised Learning for Medical Image Segmentation"

50 / 59 papers shown
Title
MSA-UNet3+: Multi-Scale Attention UNet3+ with New Supervised Prototypical Contrastive Loss for Coronary DSA Image Segmentation
MSA-UNet3+: Multi-Scale Attention UNet3+ with New Supervised Prototypical Contrastive Loss for Coronary DSA Image Segmentation
Rayan Merghani Ahmed
Adnan Iltaf
Mohamed Elmanna
Gang Zhao
Hongliang Li
Yue Du
Bin Li
Shoujun Zhou
128
0
0
07 Apr 2025
BoundMatch: Boundary detection applied to semi-supervised segmentation for urban-driving scenes
BoundMatch: Boundary detection applied to semi-supervised segmentation for urban-driving scenes
Haruya Ishikawa
Yoshimitsu Aoki
39
0
0
30 Mar 2025
DEPT: Deep Extreme Point Tracing for Ultrasound Image Segmentation
DEPT: Deep Extreme Point Tracing for Ultrasound Image Segmentation
Lei Shi
Xi Fang
Naiyu Wang
Junxing Zhang
43
0
0
19 Mar 2025
Unlocking the Potential of Unlabeled Data in Semi-Supervised Domain Generalization
Unlocking the Potential of Unlabeled Data in Semi-Supervised Domain Generalization
Dongkwan Lee
Kyomin Hwang
Nojun Kwak
101
0
0
18 Mar 2025
Knowledge Consultation for Semi-Supervised Semantic Segmentation
Thuan Than
Nhat-Anh Nguyen-Dang
Dung Nguyen
Salwa K. Al Khatib
Ahmed Elhagry
Hai T. Phan
Yihui He
Zhiqiang Shen
Marios Savvides
Dang T. Huynh
VLM
53
0
0
12 Mar 2025
Context-Aware Doubly-Robust Semi-Supervised Learning
Context-Aware Doubly-Robust Semi-Supervised Learning
Clement Ruah
Houssem Sifaou
Osvaldo Simeone
Bashir M. Al-Hashimi
60
0
0
24 Feb 2025
CAD: Confidence-Aware Adaptive Displacement for Semi-Supervised Medical Image Segmentation
CAD: Confidence-Aware Adaptive Displacement for Semi-Supervised Medical Image Segmentation
Wenbo Xiao
Zhihao Xu
Guiping Liang
Yangjun Deng
Yi Xiao
59
0
0
01 Feb 2025
Self-Calibrated Dual Contrasting for Annotation-Efficient Bacteria Raman Spectroscopy Clustering and Classification
Self-Calibrated Dual Contrasting for Annotation-Efficient Bacteria Raman Spectroscopy Clustering and Classification
Haiming Yao
Wei Luo
Tao Zhou
Ang Gao
Xue Wang
33
0
0
31 Dec 2024
Learnable Prompting SAM-induced Knowledge Distillation for
  Semi-supervised Medical Image Segmentation
Learnable Prompting SAM-induced Knowledge Distillation for Semi-supervised Medical Image Segmentation
Kaiwen Huang
Tao Zhou
Huazhu Fu
Yizhe Zhang
Yi Zhou
Chen Gong
Dong Liang
VLM
64
2
0
18 Dec 2024
Theory-inspired Label Shift Adaptation via Aligned Distribution Mixture
Theory-inspired Label Shift Adaptation via Aligned Distribution Mixture
Ruidong Fan
Xiao Ouyang
Hong Tao
Yuhua Qian
Chenping Hou
OOD
47
0
0
04 Nov 2024
Dual-Teacher Ensemble Models with Double-Copy-Paste for 3D
  Semi-Supervised Medical Image Segmentation
Dual-Teacher Ensemble Models with Double-Copy-Paste for 3D Semi-Supervised Medical Image Segmentation
Zhan Fa
Shumeng Li
Jian Zhang
Lei Qi
Qian Yu
Yinghuan Shi
28
0
0
15 Oct 2024
PMT: Progressive Mean Teacher via Exploring Temporal Consistency for
  Semi-Supervised Medical Image Segmentation
PMT: Progressive Mean Teacher via Exploring Temporal Consistency for Semi-Supervised Medical Image Segmentation
Ning Gao
Sanping Zhou
Le Wang
Nanning Zheng
AI4TS
29
2
0
08 Sep 2024
DiffRect: Latent Diffusion Label Rectification for Semi-supervised
  Medical Image Segmentation
DiffRect: Latent Diffusion Label Rectification for Semi-supervised Medical Image Segmentation
Xinyu Liu
Wuyang Li
Yixuan Yuan
MedIm
24
7
0
13 Jul 2024
Segmenting Medical Images with Limited Data
Segmenting Medical Images with Limited Data
Zhaoshan Liua
Qiujie Lv
Chau Hung Lee
L. Shen
54
11
0
12 Jul 2024
Probing Perfection: The Relentless Art of Meddling for Pulmonary Airway
  Segmentation from HRCT via a Human-AI Collaboration Based Active Learning
  Method
Probing Perfection: The Relentless Art of Meddling for Pulmonary Airway Segmentation from HRCT via a Human-AI Collaboration Based Active Learning Method
Shiyi Wang
Yang Nan
Sheng Zhang
Federico Felder
Xiaodan Xing
Yingying Fang
Javier Del Ser
Simon L F Walsh
Guang Yang
28
3
0
03 Jul 2024
Test-Time Generative Augmentation for Medical Image Segmentation
Test-Time Generative Augmentation for Medical Image Segmentation
Xiao Ma
Yuhui Tao
Yuhan Zhang
Zexuan Ji
Yizhe Zhang
Qiang Chen
MedIm
44
0
0
25 Jun 2024
Leveraging Fixed and Dynamic Pseudo-labels for Semi-supervised Medical
  Image Segmentation
Leveraging Fixed and Dynamic Pseudo-labels for Semi-supervised Medical Image Segmentation
Suruchi Kumari
Pravendra Singh
34
1
0
12 May 2024
Predictive Accuracy-Based Active Learning for Medical Image Segmentation
Predictive Accuracy-Based Active Learning for Medical Image Segmentation
Jun Shi
Shulan Ruan
Ziqi Zhu
Minfan Zhao
Hong An
Ambuj Tewari
Bing Yan
UQCV
EDL
19
2
0
01 May 2024
Adaptive Bidirectional Displacement for Semi-Supervised Medical Image
  Segmentation
Adaptive Bidirectional Displacement for Semi-Supervised Medical Image Segmentation
Hanyang Chi
Jian Pang
Bingfeng Zhang
Weifeng Liu
33
10
0
01 May 2024
Beyond Pixel-Wise Supervision for Medical Image Segmentation: From
  Traditional Models to Foundation Models
Beyond Pixel-Wise Supervision for Medical Image Segmentation: From Traditional Models to Foundation Models
Yuyan Shi
Jialu Ma
Jin Yang
Shasha Wang
Yichi Zhang
MedIm
VLM
19
2
0
20 Apr 2024
Integration of Federated Learning and Blockchain in Healthcare: A
  Tutorial
Integration of Federated Learning and Blockchain in Healthcare: A Tutorial
Yahya Shahsavari
O. A. Dambri
Yaser Baseri
A. Hafid
Dimitrios Makrakis
OOD
48
2
0
15 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
26
0
0
02 Apr 2024
SM2C: Boost the Semi-supervised Segmentation for Medical Image by using
  Meta Pseudo Labels and Mixed Images
SM2C: Boost the Semi-supervised Segmentation for Medical Image by using Meta Pseudo Labels and Mixed Images
Yifei Wang
Chuhong Zhu
24
0
0
24 Mar 2024
MatchSeg: Towards Better Segmentation via Reference Image Matching
MatchSeg: Towards Better Segmentation via Reference Image Matching
Ruiqiang Xiao
Jiayu Huo
Haotian Zheng
Yang Liu
Sebastien Ourselin
Rachel Sparks
VLM
MedIm
28
1
0
23 Mar 2024
Self and Mixed Supervision to Improve Training Labels for Multi-Class
  Medical Image Segmentation
Self and Mixed Supervision to Improve Training Labels for Multi-Class Medical Image Segmentation
Jianfei Liu
Christopher Parnell
Ronald M. Summers
38
1
0
06 Mar 2024
A Multispectral Automated Transfer Technique (MATT) for machine-driven
  image labeling utilizing the Segment Anything Model (SAM)
A Multispectral Automated Transfer Technique (MATT) for machine-driven image labeling utilizing the Segment Anything Model (SAM)
James E. Gallagher
Aryav Gogia
E. Oughton
VLM
27
8
0
18 Feb 2024
Weak-Mamba-UNet: Visual Mamba Makes CNN and ViT Work Better for
  Scribble-based Medical Image Segmentation
Weak-Mamba-UNet: Visual Mamba Makes CNN and ViT Work Better for Scribble-based Medical Image Segmentation
Ziyang Wang
Chao Ma
Mamba
21
29
0
16 Feb 2024
Mamba-UNet: UNet-Like Pure Visual Mamba for Medical Image Segmentation
Mamba-UNet: UNet-Like Pure Visual Mamba for Medical Image Segmentation
Ziyang Wang
Jian-Qing Zheng
Yichi Zhang
Ge Cui
Lei Li
Mamba
30
124
0
07 Feb 2024
Segment Anything Model for Medical Image Segmentation: Current
  Applications and Future Directions
Segment Anything Model for Medical Image Segmentation: Current Applications and Future Directions
Yichi Zhang
Zhenrong Shen
Rushi Jiao
VLM
MedIm
28
113
0
07 Jan 2024
Benefit from public unlabeled data: A Frangi filtering-based pretraining
  network for 3D cerebrovascular segmentation
Benefit from public unlabeled data: A Frangi filtering-based pretraining network for 3D cerebrovascular segmentation
Gen Shi
Hao Lu
Hui Hui
Jie Tian
14
1
0
23 Dec 2023
Semi-supervised Segmentation of Histopathology Images with Noise-Aware
  Topological Consistency
Semi-supervised Segmentation of Histopathology Images with Noise-Aware Topological Consistency
Meilong Xu
Xiaoling Hu
Saumya Gupta
Shahira Abousamra
Chao Chen
30
6
0
28 Nov 2023
Segment Together: A Versatile Paradigm for Semi-Supervised Medical Image
  Segmentation
Segment Together: A Versatile Paradigm for Semi-Supervised Medical Image Segmentation
Qingjie Zeng
Yutong Xie
Zilin Lu
Mengkang Lu
Yicheng Wu
Yong-quan Xia
31
3
0
20 Nov 2023
Diagonal Hierarchical Consistency Learning for Semi-supervised Medical
  Image Segmentation
Diagonal Hierarchical Consistency Learning for Semi-supervised Medical Image Segmentation
Heejoon Koo
34
0
0
10 Nov 2023
Anatomically-aware Uncertainty for Semi-supervised Image Segmentation
Anatomically-aware Uncertainty for Semi-supervised Image Segmentation
V. SukeshAdiga
Jose Dolz
H. Lombaert
UQCV
19
24
0
24 Oct 2023
Competitive Ensembling Teacher-Student Framework for Semi-Supervised
  Left Atrium MRI Segmentation
Competitive Ensembling Teacher-Student Framework for Semi-Supervised Left Atrium MRI Segmentation
Yuyan Shi
Yichi Zhang
Shasha Wang
17
7
0
21 Oct 2023
UCM-Net: A Lightweight and Efficient Solution for Skin Lesion
  Segmentation using MLP and CNN
UCM-Net: A Lightweight and Efficient Solution for Skin Lesion Segmentation using MLP and CNN
Chunyu Yuan
Dongfang Zhao
S. Agaian
30
9
0
14 Oct 2023
Data efficient deep learning for medical image analysis: A survey
Data efficient deep learning for medical image analysis: A survey
Suruchi Kumari
Pravendra Singh
37
12
0
10 Oct 2023
Adaptive Semi-Supervised Segmentation of Brain Vessels with Ambiguous
  Labels
Adaptive Semi-Supervised Segmentation of Brain Vessels with Ambiguous Labels
Fengming Lin
Yan Xia
Nishant Ravikumar
Qiongyao Liu
Michael MacRaild
Alejandro F Frangi
18
4
0
07 Aug 2023
MedLSAM: Localize and Segment Anything Model for 3D CT Images
MedLSAM: Localize and Segment Anything Model for 3D CT Images
Wenhui Lei
Xu Wei
Xiaofan Zhang
Kang Li
Shaoting Zhang
MedIm
26
3
0
26 Jun 2023
Towards Segment Anything Model (SAM) for Medical Image Segmentation: A
  Survey
Towards Segment Anything Model (SAM) for Medical Image Segmentation: A Survey
Yichi Zhang
Rushi Jiao
MedIm
VLM
27
26
0
05 May 2023
Inherent Consistent Learning for Accurate Semi-supervised Medical Image
  Segmentation
Inherent Consistent Learning for Accurate Semi-supervised Medical Image Segmentation
Ye Zhu
Jie-jin Yang
Sichen Liu
Ruimao Zhang
24
3
0
24 Mar 2023
Towards more precise automatic analysis: a comprehensive survey of deep
  learning-based multi-organ segmentation
Towards more precise automatic analysis: a comprehensive survey of deep learning-based multi-organ segmentation
Xiaoyu Liu
Linhao Qu
Ziyue Xie
Jiayue Zhao
Yonghong Shi
Zhijian Song
26
6
0
01 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
29
6
0
07 Feb 2023
Analysing the effectiveness of a generative model for semi-supervised
  medical image segmentation
Analysing the effectiveness of a generative model for semi-supervised medical image segmentation
Margherita Rosnati
Fabio De Sousa Ribeiro
M. Monteiro
Daniel Coelho De Castro
Ben Glocker
GAN
MedIm
17
2
0
03 Nov 2022
Annotation-efficient cancer detection with report-guided lesion
  annotation for deep learning-based prostate cancer detection in bpMRI
Annotation-efficient cancer detection with report-guided lesion annotation for deep learning-based prostate cancer detection in bpMRI
Joeran S. Bosma
A. Saha
M. Hosseinzadeh
Ivan Slootweg
Maarten de Rooij
Henkjan Huisman
27
29
0
09 Dec 2021
Uncertainty-Guided Mutual Consistency Learning for Semi-Supervised
  Medical Image Segmentation
Uncertainty-Guided Mutual Consistency Learning for Semi-Supervised Medical Image Segmentation
Yichi Zhang
Rushi Jiao
Qingcheng Liao
Dongyang Li
Jicong Zhang
22
56
0
05 Dec 2021
Pseudo-label refinement using superpixels for semi-supervised brain
  tumour segmentation
Pseudo-label refinement using superpixels for semi-supervised brain tumour segmentation
Bethany H. Thompson
G. D. Caterina
J. Voisey
26
31
0
16 Oct 2021
Mutual Consistency Learning for Semi-supervised Medical Image
  Segmentation
Mutual Consistency Learning for Semi-supervised Medical Image Segmentation
Yicheng Wu
Z. Ge
Donghao Zhang
Minfeng Xu
Lei Zhang
Yong-quan Xia
Jianfei Cai
OOD
SSL
69
230
0
21 Sep 2021
Parameter Decoupling Strategy for Semi-supervised 3D Left Atrium
  Segmentation
Parameter Decoupling Strategy for Semi-supervised 3D Left Atrium Segmentation
Xuanting Hao
Shengbo Gao
Lijie Sheng
Jicong Zhang
32
3
0
20 Sep 2021
Adaptive Hierarchical Dual Consistency for Semi-Supervised Left Atrium
  Segmentation on Cross-Domain Data
Adaptive Hierarchical Dual Consistency for Semi-Supervised Left Atrium Segmentation on Cross-Domain Data
Jun Chen
Heye Zhang
R. Mohiaddin
Tom Wong
D. Firmin
J. Keegan
Guang Yang
39
36
0
17 Sep 2021
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