Automated identification of cataract severity using retinal fundus images

Cataract is the most prevalent cause of blindness worldwide, which accounts for more than 51% of overall blindness. The early detection of cataract can salvage impaired vision leading to blindness. Most of the existing cataract classification systems are based on traditional machine learning methods...

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Veröffentlicht in:	Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization Jg. 8; H. 6; S. 691 - 698
Hauptverfasser:	Imran, Azhar, Li, Jianqiang, Pei, Yan, Akhtar, Faheem, Yang, Ji-Jiang, Dang, Yanping
Format:	Journal Article
Sprache:	Englisch Japanisch
Veröffentlicht:	Taylor & Francis 01.11.2020 Informa UK Limited
Schlagworte:	cataract detection Convolutional neural network image classification retinal images SVM
ISSN:	2168-1163, 2168-1171
Online-Zugang:	Volltext
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