Assess the performance of the diagnosis ways of diabetic retinopathy
Abstract
Considered the diagnosis of diseases using image processing is one of the most important areas of image processing techniques used in the medical field, where is the digital data in the field of ophthalmology focus of researchers for automatic detection of some important diseases such as diabetic retinopathy (DR). And is defined as damage to the retina of the eye comes as serious complications and on the human body complications resulting from diabetes in the long term and is considered one of the most important causes of blindness in the world and cause serious damage to the retina. The research aims to Assess the performance of some of the methods used in the diagnosis of diabetic retinopathy by revealing one of the most important accompanying pests him in the retina of the eye and is the exudates and through diagnosed in images digital fundus through image processing techniques where this detection process contributes in helping to early detection.
Keywords
Exudates, Fcm clustering, Image processing, morphological operations, optic disk detection, Fundus image, Diabetic retinopathy (dr), Macula
Full Text:
PDFDOI: http://dx.doi.org/10.21533/pen.v7i3.774
Refbacks
- There are currently no refbacks.
Copyright (c) 2019 Mohammad Q. Jawad, Maryam A. yousif, Dina H. Abbas
This work is licensed under a Creative Commons Attribution 4.0 International License.
ISSN: 2303-4521
Digital Object Identifier DOI: 10.21533/pen
This work is licensed under a Creative Commons Attribution 4.0 International License