Dual-Decoder Consistency via Pseudo-Labels Guided Data Augmentation for Semi-Supervised Medical Image Segmentation
Fuente:
arXiv
Saved in:
| Main Authors: | Chen, Yuanbin, Wang, Tao, Tang, Hui, Zhao, Longxuan, Zong, Ruige, Chen, Shun, Tan, Tao, Zhang, Xinlin, Tong, Tong |
|---|---|
| Format: | Preprint |
| Published: |
2023
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Synergy-Guided Regional Supervision of Pseudo Labels for Semi-Supervised Medical Image Segmentation
by: Wang, Tao, et al.
Published: (2024)
by: Wang, Tao, et al.
Published: (2024)
Innovative Quantitative Analysis for Disease Progression Assessment in Familial Cerebral Cavernous Malformations
by: Zong, Ruige, et al.
Published: (2024)
by: Zong, Ruige, et al.
Published: (2024)
Implicit Neural Representation-Based MRI Reconstruction Method with Sensitivity Map Constraints
by: Rao, Lixuan, et al.
Published: (2025)
by: Rao, Lixuan, et al.
Published: (2025)
MAPL: Memory Augmentation and Pseudo-Labeling for Semi-Supervised Anomaly Detection
by: Chen, Junzhuo, et al.
Published: (2024)
by: Chen, Junzhuo, et al.
Published: (2024)
Human Gaze-based Dual Teacher Guidance Learning for Semi-Supervised Medical Image Segmentation
by: Ge, Rongjun, et al.
Published: (2026)
by: Ge, Rongjun, et al.
Published: (2026)
ScribbleVS: Scribble-Supervised Medical Image Segmentation via Dynamic Competitive Pseudo Label Selection
by: Wang, Tao, et al.
Published: (2024)
by: Wang, Tao, et al.
Published: (2024)
Dual Agreement Consistency Learning with Foundation Models for Semi-Supervised Fetal Heart Ultrasound Segmentation and Diagnosis
by: Wang, Fangyijie, et al.
Published: (2026)
by: Wang, Fangyijie, et al.
Published: (2026)
DIffSteISR: Harnessing Diffusion Prior for Superior Real-world Stereo Image Super-Resolution
by: Zhou, Yuanbo, et al.
Published: (2024)
by: Zhou, Yuanbo, et al.
Published: (2024)
Mind the Context: Attention-Guided Weak-to-Strong Consistency for Enhanced Semi-Supervised Medical Image Segmentation
by: Cheng, Yuxuan, et al.
Published: (2024)
by: Cheng, Yuxuan, et al.
Published: (2024)
Striving for Simplicity: Simple Yet Effective Prior-Aware Pseudo-Labeling for Semi-Supervised Ultrasound Image Segmentation
by: Chen, Yaxiong, et al.
Published: (2025)
by: Chen, Yaxiong, et al.
Published: (2025)
Modeling the Label Distributions for Weakly-Supervised Semantic Segmentation
by: Wu, Linshan, et al.
Published: (2024)
by: Wu, Linshan, et al.
Published: (2024)
AstMatch: Adversarial Self-training Consistency Framework for Semi-Supervised Medical Image Segmentation
by: Zhu, Guanghao, et al.
Published: (2024)
by: Zhu, Guanghao, et al.
Published: (2024)
Multi-Prototype Embedding Refinement for Semi-Supervised Medical Image Segmentation
by: Bi, Yali, et al.
Published: (2025)
by: Bi, Yali, et al.
Published: (2025)
Leveraging Fixed and Dynamic Pseudo-labels for Semi-supervised Medical Image Segmentation
by: Kumari, Suruchi, et al.
Published: (2024)
by: Kumari, Suruchi, et al.
Published: (2024)
SemiSAM+: Rethinking Semi-Supervised Medical Image Segmentation in the Era of Foundation Models
by: Zhang, Yichi, et al.
Published: (2025)
by: Zhang, Yichi, et al.
Published: (2025)
Leveraging Information Divergence for Robust Semi-Supervised Fetal Ultrasound Image Segmentation
by: Wang, Fangyijie, et al.
Published: (2025)
by: Wang, Fangyijie, et al.
Published: (2025)
Utilizing Weak-to-Strong Consistency for Semi-Supervised Glomeruli Segmentation
by: Zhang, Irina, et al.
Published: (2024)
by: Zhang, Irina, et al.
Published: (2024)
Semi-supervised Medical Image Segmentation via Geometry-aware Consistency Training
by: Liu, Zihang, et al.
Published: (2022)
by: Liu, Zihang, et al.
Published: (2022)
SegImgNet: Segmentation-Guided Dual-Branch Network for Retinal Disease Diagnoses
by: Luo, Xinwei, et al.
Published: (2025)
by: Luo, Xinwei, et al.
Published: (2025)
Using Diffusion Models to Generate Synthetic Labelled Data for Medical Image Segmentation
by: Saragih, Daniel, et al.
Published: (2023)
by: Saragih, Daniel, et al.
Published: (2023)
MCICSAM: Monte Carlo-guided Interpolation Consistency Segment Anything Model for Semi-Supervised Prostate Zone Segmentation
by: Huang, Guantian, et al.
Published: (2024)
by: Huang, Guantian, et al.
Published: (2024)
DiffRect: Latent Diffusion Label Rectification for Semi-supervised Medical Image Segmentation
by: Liu, Xinyu, et al.
Published: (2024)
by: Liu, Xinyu, et al.
Published: (2024)
Distance Guided Generative Adversarial Network for Explainable Binary Classifications
by: Xiong, Xiangyu, et al.
Published: (2023)
by: Xiong, Xiangyu, et al.
Published: (2023)
Federated Semi-supervised Learning for Medical Image Segmentation with intra-client and inter-client Consistency
by: Zheng, Yubin, et al.
Published: (2024)
by: Zheng, Yubin, et al.
Published: (2024)
PMR-Net: Parallel Multi-Resolution Encoder-Decoder Network Framework for Medical Image Segmentation
by: Du, Xiaogang, et al.
Published: (2024)
by: Du, Xiaogang, et al.
Published: (2024)
P3Net: Progressive and Periodic Perturbation for Semi-Supervised Medical Image Segmentation
by: Yao, Zhenyan, et al.
Published: (2025)
by: Yao, Zhenyan, et al.
Published: (2025)
Spatial-Frequency Dual Progressive Attention Network For Medical Image Segmentation
by: Zhou, Zhenhuan, et al.
Published: (2024)
by: Zhou, Zhenhuan, et al.
Published: (2024)
TransMedSeg: A Transferable Semantic Framework for Semi-Supervised Medical Image Segmentation
by: Wang, Mengzhu, et al.
Published: (2025)
by: Wang, Mengzhu, et al.
Published: (2025)
From Noisy Labels to Intrinsic Structure: A Geometric-Structural Dual-Guided Framework for Noise-Robust Medical Image Segmentation
by: Wang, Tao, et al.
Published: (2025)
by: Wang, Tao, et al.
Published: (2025)
Semi-supervised Segmentation of Histopathology Images with Noise-Aware Topological Consistency
by: Xu, Meilong, et al.
Published: (2023)
by: Xu, Meilong, et al.
Published: (2023)
Dual Diversity and Pseudo‐Label Correction Learning for Semi‐Supervised Medical Image Segmentation
by: Guangxing Du, et al.
Published: (2025)
by: Guangxing Du, et al.
Published: (2025)
Semi-Mamba-UNet: Pixel-Level Contrastive and Pixel-Level Cross-Supervised Visual Mamba-based UNet for Semi-Supervised Medical Image Segmentation
by: Ma, Chao, et al.
Published: (2024)
by: Ma, Chao, et al.
Published: (2024)
M$^3$HL: Mutual Mask Mix with High-Low Level Feature Consistency for Semi-Supervised Medical Image Segmentation
by: Liu, Yajun, et al.
Published: (2025)
by: Liu, Yajun, et al.
Published: (2025)
A Semi-Supervised Approach with Error Reflection for Echocardiography Segmentation
by: Han, Xiaoxiang, et al.
Published: (2024)
by: Han, Xiaoxiang, et al.
Published: (2024)
UP2D: Uncertainty-aware Progressive Pseudo-label Denoising for Source-Free Domain Adaptive Medical Image Segmentation
by: Bui-Tran, Quang-Khai, et al.
Published: (2025)
by: Bui-Tran, Quang-Khai, et al.
Published: (2025)
Prompt-Guided Dual-Path UNet with Mamba for Medical Image Segmentation
by: Zhang, Shaolei, et al.
Published: (2025)
by: Zhang, Shaolei, et al.
Published: (2025)
HMT-UNet: A hybird Mamba-Transformer Vision UNet for Medical Image Segmentation
by: Zhang, Mingya, et al.
Published: (2024)
by: Zhang, Mingya, et al.
Published: (2024)
Knowledge Consultation for Semi-Supervised Semantic Segmentation
by: Than, Thuan, et al.
Published: (2025)
by: Than, Thuan, et al.
Published: (2025)
Leveraging Task-Specific Knowledge from LLM for Semi-Supervised 3D Medical Image Segmentation
by: Kumari, Suruchi, et al.
Published: (2024)
by: Kumari, Suruchi, et al.
Published: (2024)
TransLK-Net: Entangling Transformer and Large Kernel for Progressive and Collaborative Feature Encoding and Decoding in Medical Image Segmentation
by: Yang, Jin, et al.
Published: (2025)
by: Yang, Jin, et al.
Published: (2025)
Similar Items
-
Synergy-Guided Regional Supervision of Pseudo Labels for Semi-Supervised Medical Image Segmentation
by: Wang, Tao, et al.
Published: (2024) -
Innovative Quantitative Analysis for Disease Progression Assessment in Familial Cerebral Cavernous Malformations
by: Zong, Ruige, et al.
Published: (2024) -
Implicit Neural Representation-Based MRI Reconstruction Method with Sensitivity Map Constraints
by: Rao, Lixuan, et al.
Published: (2025) -
MAPL: Memory Augmentation and Pseudo-Labeling for Semi-Supervised Anomaly Detection
by: Chen, Junzhuo, et al.
Published: (2024) -
Human Gaze-based Dual Teacher Guidance Learning for Semi-Supervised Medical Image Segmentation
by: Ge, Rongjun, et al.
Published: (2026)