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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Bibliographic Details

Published in:	Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization Vol. 8; no. 6; pp. 691 - 698
Main Authors:	Imran, Azhar, Li, Jianqiang, Pei, Yan, Akhtar, Faheem, Yang, Ji-Jiang, Dang, Yanping
Format:	Journal Article
Language:	English Japanese
Published:	Taylor & Francis 01.11.2020 Informa UK Limited
Subjects:	cataract detection Convolutional neural network image classification retinal images SVM
ISSN:	2168-1163, 2168-1171
Online Access:	Get full text
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