ST-LP: self-training and label propagation for semi-supervised classification

Due to the particularly high costs of manual data labeling, especially in the field of medical imaging, and the necessity for specialized knowledge, there is a growing interest in semi-supervised methods. In this paper, a novel framework of Self-Training with Label Propagation (ST-LP) is proposed fo...

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Veröffentlicht in:Multimedia tools and applications Jg. 83; H. 41; S. 89335 - 89353
Hauptverfasser: Lin, Chih-Wen, Chiang, Chen-Kuo, Wang, Yu-An, Yang, Yue-Lin, Li, Hao-Ting, Lin, Tzu-Chieh
Format: Journal Article
Sprache:Englisch
Veröffentlicht: New York Springer US 01.12.2024
Springer Nature B.V
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ISSN:1573-7721, 1380-7501, 1573-7721
Online-Zugang:Volltext
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