Buchumschlag

M$^3$HL: Mutual Mask Mix with High-Low Level Feature Consistency for Semi-Supervised Medical Image Segmentation

Fuente: arXiv

Gespeichert in:

Bibliographische Detailangaben
Hauptverfasser:	Liu, Yajun, Zhang, Zenghui, Yue, Jiang, Guo, Weiwei, Li, Dongying
Format:	Preprint
Veröffentlicht:	2025
Schlagworte:	Image and Video Processing Artificial Intelligence Computer Vision and Pattern Recognition
Online-Zugang:	Acceder al recurso
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Ähnliche Einträge

Human Gaze-based Dual Teacher Guidance Learning for Semi-Supervised Medical Image Segmentation
von: Ge, Rongjun, et al.
Veröffentlicht: (2026)

Medical Image Fusion for High-Level Analysis: A Mutual Enhancement Framework for Unaligned PAT and MRI
von: Zhong, Yutian, et al.
Veröffentlicht: (2024)

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

Semi-Mamba-UNet: Pixel-Level Contrastive and Pixel-Level Cross-Supervised Visual Mamba-based UNet for Semi-Supervised Medical Image Segmentation
von: Ma, Chao, et al.
Veröffentlicht: (2024)

Grid-Reg: Detector-Free Gridized Feature Learning and Matching for Large-Scale SAR-Optical Image Registration
von: Wei, Xiaochen, et al.
Veröffentlicht: (2025)

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

Dual Agreement Consistency Learning with Foundation Models for Semi-Supervised Fetal Heart Ultrasound Segmentation and Diagnosis
von: Wang, Fangyijie, et al.
Veröffentlicht: (2026)

Leveraging Information Divergence for Robust Semi-Supervised Fetal Ultrasound Image Segmentation
von: Wang, Fangyijie, et al.
Veröffentlicht: (2025)

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

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

Collaborative Learning for Unsupervised Multimodal Remote Sensing Image Registration: Integrating Self-Supervision and MIM-Guided Diffusion-Based Image Translation
von: Wei, Xiaochen, et al.
Veröffentlicht: (2025)

Multi-Prototype Embedding Refinement for Semi-Supervised Medical Image Segmentation
von: Bi, Yali, et al.
Veröffentlicht: (2025)

Improving Lesion Segmentation in Medical Images by Global and Regional Feature Compensation
von: Wang, Chuhan, et al.
Veröffentlicht: (2025)

M$^4$oE: A Foundation Model for Medical Multimodal Image Segmentation with Mixture of Experts
von: Jiang, Yufeng, et al.
Veröffentlicht: (2024)

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

OSDM-MReg: Multimodal Image Registration based One Step Diffusion Model
von: Wei, Xiaochen, et al.
Veröffentlicht: (2025)

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

Bridging the Inter-Domain Gap through Low-Level Features for Cross-Modal Medical Image Segmentation
von: Lyu, Pengfei, et al.
Veröffentlicht: (2025)

Semantic-guided Masked Mutual Learning for Multi-modal Brain Tumor Segmentation with Arbitrary Missing Modalities
von: Liang, Guoyan, et al.
Veröffentlicht: (2025)

A Mutual Inclusion Mechanism for Precise Boundary Segmentation in Medical Images
von: Pan, Yizhi, et al.
Veröffentlicht: (2024)

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

FEFormer: Frequency-enhanced Vision Transformer for Generic Knowledge Extraction and Adaptive Feature Fusion in Volumetric Medical Image Segmentation
von: Yang, Jin, et al.
Veröffentlicht: (2026)

TransLK-Net: Entangling Transformer and Large Kernel for Progressive and Collaborative Feature Encoding and Decoding in Medical Image Segmentation
von: Yang, Jin, et al.
Veröffentlicht: (2025)

DEMIX: Dual-Encoder Latent Masking Framework for Mixed Noise Reduction in Ultrasound Imaging
von: Guha, Soumee, et al.
Veröffentlicht: (2026)

DINO-Mix: Distilling Foundational Knowledge with Cross-Domain CutMix for Semi-supervised Class-imbalanced Medical Image Segmentation
von: Liu, Xinyu, et al.
Veröffentlicht: (2026)

A Novel Scene Coupling Semantic Mask Network for Remote Sensing Image Segmentation
von: Ma, Xiaowen, et al.
Veröffentlicht: (2025)

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

Utilizing Weak-to-Strong Consistency for Semi-Supervised Glomeruli Segmentation
von: Zhang, Irina, et al.
Veröffentlicht: (2024)

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

Image Generation with Supervised Selection Based on Multimodal Features for Semantic Communications
von: Liang, Chengyang, et al.
Veröffentlicht: (2024)

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

Semi-supervised Segmentation of Histopathology Images with Noise-Aware Topological Consistency
von: Xu, Meilong, et al.
Veröffentlicht: (2023)

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

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

MDN: Mamba-Driven Dualstream Network For Medical Hyperspectral Image Segmentation
von: Lin, Shijie, et al.
Veröffentlicht: (2025)

3D Skin Segmentation Methods in Medical Imaging: A Comparison
von: Paccini, Martina, et al.
Veröffentlicht: (2025)

EDU-Net: Retinal Pathological Fluid Segmentation in OCT Images with Multiscale Feature Fusion and Boundary Optimization
von: Lei, Zijun, et al.
Veröffentlicht: (2026)

Federated Semi-supervised Learning for Medical Image Segmentation with intra-client and inter-client Consistency
von: Zheng, Yubin, et al.
Veröffentlicht: (2024)

Tree-NET: Enhancing Medical Image Segmentation Through Efficient Low-Level Feature Training
von: Demirci, Orhan, et al.
Veröffentlicht: (2025)

Transforming Heart Chamber Imaging: Self-Supervised Learning for Whole Heart Reconstruction and Segmentation
von: Qayyum, Abdul, et al.
Veröffentlicht: (2024)