Handling imbalanced medical image data: A deep-learning-based one-class classification approach

[Display omitted] •A novel deep-learning-based model for the data imbalance problem.•Effective perturbing operations to capture single-class-relevant features.•State-of-the-art performance on four imbalanced medical image datasets. In clinical settings, a lot of medical image datasets suffer from th...

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Veröffentlicht in:	Artificial intelligence in medicine Jg. 108; S. 101935
Hauptverfasser:	Gao, Long, Zhang, Lei, Liu, Chang, Wu, Shandong
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Netherlands Elsevier B.V 01.08.2020
Schlagworte:	Data imbalance Deep Learning Diagnostic Imaging Humans Image complexity Medical image classification Deep learning Image complexity Medical image classification Data imbalance
ISSN:	0933-3657, 1873-2860, 1873-2860
Online-Zugang:	Volltext
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