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Articles

CurriMAE: curriculum learning based masked autoencoders for multi-labeled pediatric thoracic disease classification

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By Taeyoung Yoon, Daesung Kang, Nies JFJN, Benzorgat MNE
| PeerJ
CurriMAE: curriculum learning based masked autoencoders for multi-labeled pediatric thoracic disease classification School of Bio-Health Convergence, College of Natural Sciences, Sungshin Women’s University, Seoul, Republic of Korea DOI 10.7717/peerj-cs.3019 Academic Editor Giovanni Angiulli Subject Areas Algorithms and Analysis of Algorithms, Artificial Intelligence, Computer Vision, Data Mining and Machine Learning, Neural Networks Keywords Self-supervised learning, Masked autoencoders,...
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