Consistency learning with dynamic weighting and class-agnostic regularization for semi-supervised medical image segmentation

Recently, significant progress has been made in consistency regularization-based semi-supervised medical image segmentation. Typically, a consistency loss is applied to enforce consistent prediction of input images under different perturbations. However, most of the previous methods missed two key p...

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Veröffentlicht in:	Biomedical signal processing and control Jg. 90; S. 105902
Hauptverfasser:	Su, Jiawei, Luo, Zhiming, Lian, Sheng, Lin, Dazhen, Li, Shaozi
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier Ltd 01.04.2024
Schlagworte:	Class agnostic relationship Dynamic weight Semi-supervised segmentation Dynamic weight Class agnostic relationship Semi-supervised segmentation
ISSN:	1746-8094, 1746-8108
Online-Zugang:	Volltext
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