The computer based method to diabetic retinopathy assessment in retinal images: a review
Farid Mohammadi 1, Mehrdad Esmaeili 1, Alireza Javadzadeh 2, Hamid Aryaei Tabar 3, Seyed Hossein Rasta 1 4 *
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1 Department of Medical Bioengineering, School of Advanced Medical Sciences, Tabriz University of Medical Sciences, Tabriz 51666, Iran
2 Department of Ophthalmology, Nikookari Eye Hospital, Tabriz University of Medical Sciences, Tabriz, Iran
3 Department of Ophthalmology, Faculty of Medicine University of Kermanshah, Kermanshah, Iran
4 School of Biomedical Sciences, University of Aberdeen, Aberdeen AB25 2ZD, UK
* Corresponding Author

Abstract

Diabetic retinopathy accounts for a considerable amount of the blindness especially among the patients who are between 20 to 60 years. The early detection of this disease plays an important role in preventing vision damages and appropriate follow-up care of diabetic eye. Manual investigation of color fundus images to check morphological changes in dark and bright lesions is tedious work and very time-consuming that can be made easily with the help of computer-aided diagnosis system. Many techniques were proposed for early detection of the abnormalities in the retinal images help the ophthalmologists recognize the retinopathy earlier. This paper presents a review of various automated algorithms that have been used for the detection of diabetic retinopathy.

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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Article Type: Review Article

https://doi.org/10.29333/ejgm/108619

ELECTRON J GEN MED, 2019 - Volume 16 Issue 2, Article No: em114

Publication date: 17 Apr 2019

Article Views: 1340

Article Downloads: 898

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