Cover Image

Pairwise Similarity Regularization for Semi-supervised Graph Medical Image Segmentation

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Zhou, Jialu, Shi, Dianxi, Yang, Shaowu, Qiu, Chunping, Jing, Luoxi, Wang, Mengzhu
Format:	Preprint
Published:	2025
Subjects:	Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

CEIDM: A Controlled Entity and Interaction Diffusion Model for Enhanced Text-to-Image Generation
by: Yang, Mingyue, et al.
Published: (2025)

UniCT Depth: Event-Image Fusion Based Monocular Depth Estimation with Convolution-Compensated ViT Dual SA Block
by: Jing, Luoxi, et al.
Published: (2025)

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

Alternate Diverse Teaching for Semi-supervised Medical Image Segmentation
by: Zhao, Zhen, 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)

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

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

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

Text-driven Multiplanar Visual Interaction for Semi-supervised Medical Image Segmentation
by: Huang, Kaiwen, 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)

SemSim: Revisiting Weak-to-Strong Consistency from a Semantic Similarity Perspective for Semi-supervised Medical Image Segmentation
by: Xie, Shiao, et al.
Published: (2024)

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

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

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)

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

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

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

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

MetaSSP: Enhancing Semi-supervised Implicit 3D Reconstruction through Meta-adaptive EMA and SDF-aware Pseudo-label Evaluation
by: Zhang, Luoxi, et al.
Published: (2026)

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

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

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)

GIGP: A Global Information Interacting and Geometric Priors Focusing Framework for Semi-supervised Medical Image Segmentation
by: Yu, Lianyuan, et al.
Published: (2025)

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

SemiSAM: Enhancing Semi-Supervised Medical Image Segmentation via SAM-Assisted Consistency Regularization
by: Zhang, Yichi, et al.
Published: (2023)

Beyond Pixel-Wise Supervision for Medical Image Segmentation: From Traditional Models to Foundation Models
by: Shi, Yuyan, et al.
Published: (2024)

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

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

BASIC: Semi-supervised Multi-organ Segmentation with Balanced Subclass Regularization and Semantic-conflict Penalty
by: Feng, Zhenghao, et al.
Published: (2025)

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

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

SM2C: Boost the Semi-supervised Segmentation for Medical Image by using Meta Pseudo Labels and Mixed Images
by: Wang, Yifei, et al.
Published: (2024)

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

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

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

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

Dual Cross-image Semantic Consistency with Self-aware Pseudo Labeling for Semi-supervised Medical Image Segmentation
by: Wu, Han, et al.
Published: (2025)

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