Generic placeholder image

Current Medical Imaging

Editor-in-Chief

ISSN (Print): 1573-4056
ISSN (Online): 1875-6603

Review Article

Computer Aided Systems for Diabetic Retinopathy Detection Using Digital Fundus Images: A Survey

Author(s): Imran Qureshi, Muhammad Sharif, Mussarat Yasmin, Mudassar Raza and Muhammad Y. Javed

Volume 12, Issue 4, 2016

Page: [234 - 241] Pages: 8

DOI: 10.2174/1573405611666150929234644

Price: $65

Abstract

Diabetic retinopathy (DR), glaucoma and hypertension are the most common forms of retinal diseases and diagnosis of these diseases at their early stages can prevent people from blindness. In practice, computer aided detection (CAD) systems are being developed for the detection of these eye diseases. These CAD systems provide second opinion to less experienced opthalmologists for the detection and analysis of these diseases using digital fundus images. In this paper, the state-of-the-art CAD systems are studied and compared systematically in terms of their classification accuracy, methodological approach and efficiency. The comparison results indicate that the accuracy of these CAD systems is not up to the mark.

Keywords: CAD systems, diabetic retinopathy, exudates, glaucoma, micro aneurysms, optic disc.

Graphical Abstract


Rights & Permissions Print Cite
© 2024 Bentham Science Publishers | Privacy Policy