:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Yu, Lianyuan, Guo, Xiuzhen, Shi, Ji, Wang, Hongxiao, Li, Hongwei
Format:	Preprint
Published:	2025
Subjects:	Computer Vision and Pattern Recognition
Online Access:	https://arxiv.org/abs/2503.09355
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Diff-CL: A Novel Cross Pseudo-Supervision Method for Semi-supervised Medical Image Segmentation
by: Guo, Xiuzhen, et al.
Published: (2025)

Staged Voxel-Level Deep Reinforcement Learning for 3D Medical Image Segmentation with Noisy Annotations
by: Fu, Yuyang, et al.
Published: (2026)

Decoupled Competitive Framework for Semi-supervised Medical Image Segmentation
by: Chen, Jiahe, et al.
Published: (2025)

Background Matters: A Cross-view Bidirectional Modeling Framework for Semi-supervised Medical Image Segmentation
by: Cao, Luyang, et al.
Published: (2025)

Diversity-enhanced Collaborative Mamba for Semi-supervised Medical Image Segmentation
by: Li, Shumeng, et al.
Published: (2025)

Dual Teacher-Student Learning for Semi-supervised Medical Image Segmentation
by: Zhang, Pengchen, et al.
Published: (2025)

Text-driven Multiplanar Visual Interaction for Semi-supervised Medical Image Segmentation
by: Huang, Kaiwen, et al.
Published: (2025)

Alternate Diverse Teaching for Semi-supervised Medical Image Segmentation
by: Zhao, Zhen, et al.
Published: (2023)

Pairwise Similarity Regularization for Semi-supervised Graph Medical Image Segmentation
by: Zhou, Jialu, et al.
Published: (2025)

Vision-Language Enhanced Foundation Model for Semi-supervised Medical Image Segmentation
by: Guo, Jiaqi, et al.
Published: (2025)

Stitching, Fine-tuning, Re-training: A SAM-enabled Framework for Semi-supervised 3D Medical Image Segmentation
by: Li, Shumeng, et al.
Published: (2024)

Semi-supervised Medical Image Segmentation via Query Distribution Consistency
by: Wu, Rong, et al.
Published: (2023)

The Devil is in the Statistics: Mitigating and Exploiting Statistics Difference for Generalizable Semi-supervised Medical Image Segmentation
by: Qiu, Muyang, et al.
Published: (2024)

FRCNet Frequency and Region Consistency for Semi-supervised Medical Image Segmentation
by: He, Along, et al.
Published: (2024)

Cross Prompting Consistency with Segment Anything Model for Semi-supervised Medical Image Segmentation
by: Miao, Juzheng, et al.
Published: (2024)

Constructing and Exploring Intermediate Domains in Mixed Domain Semi-supervised Medical Image Segmentation
by: Ma, Qinghe, et al.
Published: (2024)

Mixed Prototype Consistency Learning for Semi-supervised Medical Image Segmentation
by: Li, Lijian
Published: (2024)

FedSemiDG: Domain Generalized Federated Semi-supervised Medical Image Segmentation
by: Deng, Zhipeng, et al.
Published: (2025)

Dual Structure-Aware Image Filterings for Semi-supervised Medical Image Segmentation
by: Gu, Yuliang, et al.
Published: (2023)

Diagonal Hierarchical Consistency Learning for Semi-supervised Medical Image Segmentation
by: Koo, Heejoon
Published: (2023)

Uncertainty-aware Cross-training for Semi-supervised Medical Image Segmentation
by: Huang, Kaiwen, et al.
Published: (2025)

Translation Consistent Semi-supervised Segmentation for 3D Medical Images
by: Liu, Yuyuan, et al.
Published: (2022)

An Evidential-enhanced Tri-Branch Consistency Learning Method for Semi-supervised Medical Image Segmentation
by: Zhang, Zhenxi, et al.
Published: (2024)

Inpainting is All You Need: A Diffusion-based Augmentation Method for Semi-supervised Medical Image Segmentation
by: Hu, Xinrong, et al.
Published: (2025)

Dual-Scale Volume Priors with Wasserstein-Based Consistency for Semi-Supervised Medical Image Segmentation
by: Meng, Junying, et al.
Published: (2025)

EPL: Evidential Prototype Learning for Semi-supervised Medical Image Segmentation
by: He, Yuanpeng
Published: (2024)

DualFete: Revisiting Teacher-Student Interactions from a Feedback Perspective for Semi-supervised Medical Image Segmentation
by: Yi, Le, et al.
Published: (2025)

Uncertainty-aware Evidential Fusion-based Learning for Semi-supervised Medical Image Segmentation
by: He, Yuanpeng, et al.
Published: (2024)

Learnable Prompting SAM-induced Knowledge Distillation for Semi-supervised Medical Image Segmentation
by: Huang, Kaiwen, et al.
Published: (2024)

Double Banking on Knowledge: Customized Modulation and Prototypes for Multi-Modality Semi-supervised Medical Image Segmentation
by: Chen, Yingyu, et al.
Published: (2024)

Dual-scale Enhanced and Cross-generative Consistency Learning for Semi-supervised Medical Image Segmentation
by: Gu, Yunqi, et al.
Published: (2023)

Uncertainty-Guided Cross Attention Ensemble Mean Teacher for Semi-supervised Medical Image Segmentation
by: Karri, Meghana, et al.
Published: (2024)

DiffRect: Latent Diffusion Label Rectification for Semi-supervised Medical Image Segmentation
by: Liu, Xinyu, et al.
Published: (2024)

Balancing Multi-Target Semi-Supervised Medical Image Segmentation with Collaborative Generalist and Specialists
by: Wang, You, et al.
Published: (2025)

Semi-supervised Medical Image Segmentation via Geometry-aware Consistency Training
by: Liu, Zihang, et al.
Published: (2022)

Leveraging Fixed and Dynamic Pseudo-labels for Semi-supervised Medical Image Segmentation
by: Kumari, Suruchi, et al.
Published: (2024)

Enhancing SAM with Efficient Prompting and Preference Optimization for Semi-supervised Medical Image Segmentation
by: Konwer, Aishik, et al.
Published: (2025)

Robust Noisy Pseudo-label Learning for Semi-supervised Medical Image Segmentation Using Diffusion Model
by: Xi, Lin, et al.
Published: (2025)

DyCON: Dynamic Uncertainty-aware Consistency and Contrastive Learning for Semi-supervised Medical Image Segmentation
by: Assefa, Maregu, et al.
Published: (2025)

Multimodal Information Interaction for Medical Image Segmentation
by: Fan, Xinxin, et al.
Published: (2024)