| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 505067 | Computers in Biology and Medicine | 2013 | 20 Pages |
Abstract
Diabetes mellitus may cause alterations in the retinal microvasculature leading to diabetic retinopathy. Unchecked, advanced diabetic retinopathy may lead to blindness. It can be tedious and time consuming to decipher subtle morphological changes in optic disk, microaneurysms, hemorrhage, blood vessels, macula, and exudates through manual inspection of fundus images. A computer aided diagnosis system can significantly reduce the burden on the ophthalmologists and may alleviate the inter and intra observer variability. This review discusses the available methods of various retinal feature extractions and automated analysis.
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Physical Sciences and Engineering
Computer Science
Computer Science Applications
Authors
Muthu Rama Krishnan Mookiah, U. Rajendra Acharya, Chua Kuang Chua, Choo Min Lim, E.Y.K. Ng, Augustinus Laude,