Cover Image

Cross-head mutual Mean-Teaching for semi-supervised medical image segmentation

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Li, Wei, Bian, Ruifeng, Zhao, Wenyi, Xu, Weijin, Yang, Huihua
Format:	Preprint
Published:	2023
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

Cross-pyramid consistency regularization for semi-supervised medical image segmentation
by: Bojko, Matus, et al.
Published: (2025)

UCAD: Uncertainty-guided Contour-aware Displacement for semi-supervised medical image segmentation
by: Ding, Chengbo, et al.
Published: (2026)

Diverse Teaching and Label Propagation for Generic Semi-Supervised Medical Image Segmentation
by: Li, Wei, et al.
Published: (2025)

SP${ }^3$ : Superpixel-propagated pseudo-label learning for weakly semi-supervised medical image segmentation
by: Li, Shiman, et al.
Published: (2024)

ERSR: An Ellipse-constrained pseudo-label refinement and symmetric regularization framework for semi-supervised fetal head segmentation in ultrasound images
by: Zhou, Linkuan, et al.
Published: (2025)

Inter- and intra-uncertainty based feature aggregation model for semi-supervised histopathology image segmentation
by: Jin, Qiangguo, et al.
Published: (2024)

MOSMOS: Multi-organ segmentation facilitated by medical report supervision
by: Tian, Weiwei, et al.
Published: (2024)

Systematic comparison of semi-supervised and self-supervised learning for medical image classification
by: Huang, Zhe, et al.
Published: (2023)

Better (pseudo-)labels for semi-supervised instance segmentation
by: Porcher, François, et al.
Published: (2024)

INSITE: labelling medical images using submodular functions and semi-supervised data programming
by: Gautam, Akshat, et al.
Published: (2024)

Iterative pseudo-labeling based adaptive copy-paste supervision for semi-supervised tumor segmentation
by: Jin, Qiangguo, et al.
Published: (2025)

Dynamically evolving segment anything model with continuous learning for medical image segmentation
by: Liu, Zhaori, et al.
Published: (2025)

EAUWSeg: Eliminating annotation uncertainty in weakly-supervised medical image segmentation
by: Lituan, Wang, et al.
Published: (2025)

BoundMatch: Boundary detection applied to semi-supervised segmentation
by: Ishikawa, Haruya, et al.
Published: (2025)

Pseudo-label refinement using superpixels for semi-supervised brain tumour segmentation
by: Thompson, Bethany H., et al.
Published: (2021)

COIN: Counterfactual inpainting for weakly supervised semantic segmentation for medical images
by: Shvetsov, Dmytro, et al.
Published: (2024)

STS MICCAI 2023 Challenge: Grand challenge on 2D and 3D semi-supervised tooth segmentation
by: Wang, Yaqi, et al.
Published: (2024)

DmADs-Net: Dense multiscale attention and depth-supervised network for medical image segmentation
by: Fu, Zhaojin, et al.
Published: (2024)

SegMatch: A semi-supervised learning method for surgical instrument segmentation
by: Wei, Meng, et al.
Published: (2023)

U-RWKV: Lightweight medical image segmentation with direction-adaptive RWKV
by: Ye, Hongbo, et al.
Published: (2025)

MedDINOv3: How to adapt vision foundation models for medical image segmentation?
by: Li, Yuheng, et al.
Published: (2025)

An Automatic Cascaded Model for Hemorrhagic Stroke Segmentation and Hemorrhagic Volume Estimation
by: Xu, Weijin, et al.
Published: (2024)

Bridging spatial awareness and global context in medical image segmentation
by: Alzu'bi, Dalia, et al.
Published: (2025)

A hybrid Kolmogorov-Arnold network for medical image segmentation
by: Bhattacharyya, Deep, et al.
Published: (2026)

Prompt learning with bounding box constraints for medical image segmentation
by: Gaillochet, Mélanie, et al.
Published: (2025)

A study of animal action segmentation algorithms across supervised, unsupervised, and semi-supervised learning paradigms
by: Blau, Ari, et al.
Published: (2024)

Exploring scalable medical image encoders beyond text supervision
by: Pérez-García, Fernando, et al.
Published: (2024)

SAMST: A Transformer framework based on SAM pseudo label filtering for remote sensing semi-supervised semantic segmentation
by: Yin, Jun, et al.
Published: (2025)

A dataset of medication images with instance segmentation masks for preventing adverse drug events
by: Chu, W. I., et al.
Published: (2026)

A Self supervised learning framework for imbalanced medical imaging datasets
by: Sharma, Yash Kumar, et al.
Published: (2026)

Empirical curvelet based Fully Convolutional Network for supervised texture image segmentation
by: Huang, Yuan, et al.
Published: (2024)

A multi-stage semi-supervised learning for ankle fracture classification on CT images
by: Liu, Hongzhi, et al.
Published: (2024)

Out-of-distribution data supervision towards biomedical semantic segmentation
by: Gao, Yiquan, et al.
Published: (2025)

Shape-intensity knowledge distillation for robust medical image segmentation
by: Dong, Wenhui, et al.
Published: (2024)

ENSAM: an efficient foundation model for interactive segmentation of 3D medical images
by: Stenhede, Elias, et al.
Published: (2025)

Scribble-based fast weak-supervision and interactive corrections for segmenting whole slide images
by: Habis, Antoine, et al.
Published: (2024)

DIAS: A Dataset and Benchmark for Intracranial Artery Segmentation in DSA sequences
by: Liu, Wentao, et al.
Published: (2023)

Are foundation models efficient for medical image segmentation?
by: Ferreira, Danielle, et al.
Published: (2023)

Co-distilled attention guided masked image modeling with noisy teacher for self-supervised learning on medical images
by: Jiang, Jue, et al.
Published: (2026)

A multistep segmentation algorithm for vessel extraction in medical imaging
by: Aghazadeh, Nasser, et al.
Published: (2014)