Detecting diabetic retinopathy exudates in fundus images using fuzzy c-means (FCM)
Other Title(s)
كشف افرازات اعتلال شبكية العين بمرض السكري باستخدام خوارزمية متوسطات المراكز الضبابية
Joint Authors
Source
An-Najah University Journal for Research-A : Natural Sciences
Issue
Vol. 35, Issue 1 (28 Feb. 2021), pp.37-64, 28 p.
Publisher
An-Najah National University Deanship of Scientific Research
Publication Date
2021-02-28
Country of Publication
Palestine (West Bank)
No. of Pages
28
Main Subjects
Abstract EN
Diabetic Retinopathy (DR) is the main cause of blindness for diabetic patients.
As the exudates are the primary sign of DR, therefore early detection and timely treatment can prevent and delay the risk of vision loss.
Automatic screening could facilitate the screening process, reduce inspection time, and increase accuracy, which is vital in ophthalmic treatment, this development of exudates detection will help doctors in detecting symptoms faster.
In this research, we use an automatic method to detect exudates from retinal digital images with non-dilated pupils of retinopathy patients; starting by detecting both the optic disc (OD) and retinal vessels, then probable exudates are defined through morphological techniques, in the last main phase, four features are implemented as input data for the fuzzy C-means (FCM) clustering to define the existing exudates in the fundus images.
The overall detection performance is evaluated through measuring sensitivity, specificity, positive predictive value (PPV), positive likelihood ratio (PLR) and accuracy.
These measures are done by comparing results to hand-drawn ground truth (GT) done by an expert; which are comparatively analyzed.
It is found that the proposed method detects exudates successfully with average values of sensitivity, specificity, PPV, PLR and accuracy of 86.3%, 98.4%, 20.8%, 86.2 and 98.4% respectively on the testing studied database.
American Psychological Association (APA)
Duwaykat, Tahrir& Hamad, Hadi. 2021. Detecting diabetic retinopathy exudates in fundus images using fuzzy c-means (FCM). An-Najah University Journal for Research-A : Natural Sciences،Vol. 35, no. 1, pp.37-64.
https://search.emarefa.net/detail/BIM-1287219
Modern Language Association (MLA)
Duwaykat, Tahrir& Hamad, Hadi. Detecting diabetic retinopathy exudates in fundus images using fuzzy c-means (FCM). An-Najah University Journal for Research-A : Natural Sciences Vol. 35, no. 1 (Feb. 2021), pp.37-64.
https://search.emarefa.net/detail/BIM-1287219
American Medical Association (AMA)
Duwaykat, Tahrir& Hamad, Hadi. Detecting diabetic retinopathy exudates in fundus images using fuzzy c-means (FCM). An-Najah University Journal for Research-A : Natural Sciences. 2021. Vol. 35, no. 1, pp.37-64.
https://search.emarefa.net/detail/BIM-1287219
Data Type
Journal Articles
Language
English
Notes
Includes appendices : p. 63-64
Record ID
BIM-1287219