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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Bibliographic Details
Published in:	Multimedia tools and applications Vol. 83; no. 41; pp. 89335 - 89353
Main Authors:	Lin, Chih-Wen, Chiang, Chen-Kuo, Wang, Yu-An, Yang, Yue-Lin, Li, Hao-Ting, Lin, Tzu-Chieh
Format:	Journal Article
Language:	English
Published:	New York Springer US 01.12.2024 Springer Nature B.V
Subjects:	1237: Advanced Deep Learning for Computer Vision and Multimedia Applications Classification Computer Communication Networks Computer Science Data Structures and Information Theory Datasets Labeling Labels Medical imaging Multimedia Information Systems Propagation Special Purpose and Application-Based Systems Self-training Label propagation Semi-supervised learning Image classification
ISSN:	1573-7721, 1380-7501, 1573-7721
Online Access:	Get full text
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