Cover Image

Multi-Prototype Embedding Refinement for Semi-Supervised Medical Image Segmentation

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Bi, Yali, Che, Enyu, Chen, Yinan, He, Yuanpeng, Qu, Jingwei
Format:	Preprint
Published:	2025
Subjects:	Image and Video Processing Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Mutual Evidential Deep Learning for Medical Image Segmentation
by: He, Yuanpeng, et al.
Published: (2025)

SemiSAM+: Rethinking Semi-Supervised Medical Image Segmentation in the Era of Foundation Models
by: Zhang, Yichi, et al.
Published: (2025)

When CNN Meet with ViT: Towards Semi-Supervised Learning for Multi-Class Medical Image Semantic Segmentation
by: Wang, Ziyang, et al.
Published: (2022)

P3Net: Progressive and Periodic Perturbation for Semi-Supervised Medical Image Segmentation
by: Yao, Zhenyan, et al.
Published: (2025)

Dual-Decoder Consistency via Pseudo-Labels Guided Data Augmentation for Semi-Supervised Medical Image Segmentation
by: Chen, Yuanbin, et al.
Published: (2023)

AstMatch: Adversarial Self-training Consistency Framework for Semi-Supervised Medical Image Segmentation
by: Zhu, Guanghao, et al.
Published: (2024)

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)

Mind the Context: Attention-Guided Weak-to-Strong Consistency for Enhanced Semi-Supervised Medical Image Segmentation
by: Cheng, Yuxuan, et al.
Published: (2024)

Leveraging Task-Specific Knowledge from LLM for Semi-Supervised 3D Medical Image Segmentation
by: Kumari, Suruchi, et al.
Published: (2024)

Knowledge Consultation for Semi-Supervised Semantic Segmentation
by: Than, Thuan, et al.
Published: (2025)

MedSAM-CA: A CNN-Augmented ViT with Attention-Enhanced Multi-Scale Fusion for Medical Image Segmentation
by: Tian, Peiting, et al.
Published: (2025)

Semi-Supervised Disease Classification based on Limited Medical Image Data
by: Zhang, Yan, et al.
Published: (2024)

Universal Topology Refinement for Medical Image Segmentation with Polynomial Feature Synthesis
by: Li, Liu, et al.
Published: (2024)

HER-Seg: Holistically Efficient Segmentation for High-Resolution Medical Images
by: Xu, Qing, 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)

Phi-SegNet: Phase-Integrated Supervision for Medical Image Segmentation
by: Ali, Shams Nafisa, et al.
Published: (2026)

Semi-Supervised Medical Image Segmentation via Knowledge Mining from Large Models
by: Mao, Yuchen, et al.
Published: (2025)

Segment Anything in Medical Images
by: Ma, Jun, et al.
Published: (2023)

A Semi-Supervised Approach with Error Reflection for Echocardiography Segmentation
by: Han, Xiaoxiang, et al.
Published: (2024)

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

SDCL: Students Discrepancy-Informed Correction Learning for Semi-supervised Medical Image Segmentation
by: Song, Bentao, et al.
Published: (2024)

Advancing Automatic Photovoltaic Defect Detection using Semi-Supervised Semantic Segmentation of Electroluminescence Images
by: Jha, Abhishek, et al.
Published: (2024)

TransMedSeg: A Transferable Semantic Framework for Semi-Supervised Medical Image Segmentation
by: Wang, Mengzhu, et al.
Published: (2025)

Striving for Simplicity: Simple Yet Effective Prior-Aware Pseudo-Labeling for Semi-Supervised Ultrasound Image Segmentation
by: Chen, Yaxiong, et al.
Published: (2025)

Supervision by Denoising for Medical Image Segmentation
by: Young, Sean I., et al.
Published: (2022)

MCICSAM: Monte Carlo-guided Interpolation Consistency Segment Anything Model for Semi-Supervised Prostate Zone Segmentation
by: Huang, Guantian, et al.
Published: (2024)

MedVKAN: Efficient Feature Extraction with Mamba and KAN for Medical Image Segmentation
by: Zhu, Hancan, et al.
Published: (2025)

SAM3D: Zero-Shot Semi-Automatic Segmentation in 3D Medical Images with the Segment Anything Model
by: Chan, Trevor J., et al.
Published: (2024)

MultiTalent: A Multi-Dataset Approach to Medical Image Segmentation
by: Ulrich, Constantin, et al.
Published: (2023)

Semi-Supervised Contrastive VAE for Disentanglement of Digital Pathology Images
by: Hasan, Mahmudul, et al.
Published: (2024)

Self-Supervised One-Step Diffusion Refinement for Snapshot Compressive Imaging
by: Huang, Shaoguang, et al.
Published: (2024)

MulModSeg: Enhancing Unpaired Multi-Modal Medical Image Segmentation with Modality-Conditioned Text Embedding and Alternating Training
by: Li, Chengyin, et al.
Published: (2024)

Performance Estimation for Supervised Medical Image Segmentation Models on Unlabeled Data Using UniverSeg
by: Zou, Jingchen, et al.
Published: (2025)

Enhancing Weakly Supervised 3D Medical Image Segmentation through Probabilistic-aware Learning
by: Jiang, Runmin, et al.
Published: (2024)

Are Vision xLSTM Embedded UNet More Reliable in Medical 3D Image Segmentation?
by: Dutta, Pallabi, et al.
Published: (2024)

Foundation AI Model for Medical Image Segmentation
by: Bao, Rina, et al.
Published: (2024)

Adapting Medical Vision Foundation Models for Volumetric Medical Image Segmentation via Active Learning and Selective Semi-supervised Fine-tuning
by: Yang, Jin, et al.
Published: (2025)

M3CoTBench: Benchmark Chain-of-Thought of MLLMs in Medical Image Understanding
by: Jiang, Juntao, et al.
Published: (2026)

MCANet: Medical Image Segmentation with Multi-Scale Cross-Axis Attention
by: Shao, Hao, et al.
Published: (2023)