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DHC: Dual-debiased Heterogeneous Co-training Framework for
  Class-imbalanced Semi-supervised Medical Image Segmentation

DHC: Dual-debiased Heterogeneous Co-training Framework for Class-imbalanced Semi-supervised Medical Image Segmentation

22 July 2023
Hong Wang
X. Li
ArXivPDFHTML

Papers citing "DHC: Dual-debiased Heterogeneous Co-training Framework for Class-imbalanced Semi-supervised Medical Image Segmentation"

16 / 16 papers shown
Title
Reinforced Correlation Between Vision and Language for Precise Medical AI Assistant
Reinforced Correlation Between Vision and Language for Precise Medical AI Assistant
Haonan Wang
Jiaji Mao
Lehan Wang
Qixiang Zhang
Marawan Elbatel
...
Weifeng Qin
H. Li
Jialin Liang
Jun Shen
Xiaomeng Li
MedIm
33
0
0
06 May 2025
SemiDAViL: Semi-supervised Domain Adaptation with Vision-Language Guidance for Semantic Segmentation
SemiDAViL: Semi-supervised Domain Adaptation with Vision-Language Guidance for Semantic Segmentation
Hritam Basak
Zhaozheng Yin
VLM
31
0
0
08 Apr 2025
Balancing Multi-Target Semi-Supervised Medical Image Segmentation with Collaborative Generalist and Specialists
Balancing Multi-Target Semi-Supervised Medical Image Segmentation with Collaborative Generalist and Specialists
Y. Wang
Zekun Li
Lei Qi
Qian Yu
Yinghuan Shi
Yang Gao
32
0
0
01 Apr 2025
Boosting Semi-Supervised Medical Image Segmentation via Masked Image Consistency and Discrepancy Learning
Boosting Semi-Supervised Medical Image Segmentation via Masked Image Consistency and Discrepancy Learning
Pengcheng Zhou
L. Zhang
Wei Li
58
0
0
18 Mar 2025
Shape Transformation Driven by Active Contour for Class-Imbalanced
  Semi-Supervised Medical Image Segmentation
Shape Transformation Driven by Active Contour for Class-Imbalanced Semi-Supervised Medical Image Segmentation
Yuliang Gu
Yepeng Liu
Zhichao Sun
Jinchi Zhu
Yongchao Xu
L. Najman
MedIm
26
1
0
18 Oct 2024
Tri-Plane Mamba: Efficiently Adapting Segment Anything Model for 3D
  Medical Images
Tri-Plane Mamba: Efficiently Adapting Segment Anything Model for 3D Medical Images
Hualiang Wang
Yiqun Lin
Xinpeng Ding
X. Li
Mamba
47
2
0
13 Sep 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
Diffuse-UDA: Addressing Unsupervised Domain Adaptation in Medical Image
  Segmentation with Appearance and Structure Aligned Diffusion Models
Diffuse-UDA: Addressing Unsupervised Domain Adaptation in Medical Image Segmentation with Appearance and Structure Aligned Diffusion Models
Haifan Gong
Yitao Wang
Yihan Wang
Jiashun Xiao
Xiang Wan
Haofeng Li
MedIm
36
2
0
12 Aug 2024
Learning Unlabeled Clients Divergence via Anchor Model Aggregation for
  Federated Semi-supervised Learning
Learning Unlabeled Clients Divergence via Anchor Model Aggregation for Federated Semi-supervised Learning
Marawan Elbatel
Hualiang Wang
Jixiang Chen
Hao Wang
Xiaomeng Li
FedML
55
0
0
14 Jul 2024
S&D Messenger: Exchanging Semantic and Domain Knowledge for Generic
  Semi-Supervised Medical Image Segmentation
S&D Messenger: Exchanging Semantic and Domain Knowledge for Generic Semi-Supervised Medical Image Segmentation
Qixiang Zhang
Haonan Wang
X. Li
34
0
0
10 Jul 2024
Leveraging Task-Specific Knowledge from LLM for Semi-Supervised 3D
  Medical Image Segmentation
Leveraging Task-Specific Knowledge from LLM for Semi-Supervised 3D Medical Image Segmentation
Suruchi Kumari
Aryan Das
S. K. Roy
Indu Joshi
Pravendra Singh
29
3
0
06 Jul 2024
Contour-weighted loss for class-imbalanced image segmentation
Contour-weighted loss for class-imbalanced image segmentation
Zhhengyong Huang
Yao Sui
42
3
0
07 Jun 2024
AllSpark: Reborn Labeled Features from Unlabeled in Transformer for
  Semi-Supervised Semantic Segmentation
AllSpark: Reborn Labeled Features from Unlabeled in Transformer for Semi-Supervised Semantic Segmentation
Haonan Wang
Qixiang Zhang
Yi Li
Xiaomeng Li
38
16
0
04 Mar 2024
Towards Generic Semi-Supervised Framework for Volumetric Medical Image
  Segmentation
Towards Generic Semi-Supervised Framework for Volumetric Medical Image Segmentation
Haonan Wang
Xiaomeng Li
33
29
0
17 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
32
12
0
10 Oct 2023
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
19
151
0
28 Jul 2022
1