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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Vydáno v:	Biomedical signal processing and control Ročník 90; s. 105902
Hlavní autoři:	Su, Jiawei, Luo, Zhiming, Lian, Sheng, Lin, Dazhen, Li, Shaozi
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Elsevier Ltd 01.04.2024
Témata:	Class agnostic relationship Dynamic weight Semi-supervised segmentation Dynamic weight Class agnostic relationship Semi-supervised segmentation
ISSN:	1746-8094, 1746-8108
On-line přístup:	Získat plný text
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