GAN-Based Approach for Diabetic Retinopathy Retinal Vasculature Segmentation
Author | Sebastian, Anila |
Author | Elharrouss, Omar |
Author | Al-Maadeed, Somaya |
Author | Almaadeed, Noor |
Available date | 2024-06-06T09:28:11Z |
Publication Date | 2023-12-21 |
Publication Name | Bioengineering |
Identifier | http://dx.doi.org/10.3390/bioengineering11010004 |
Citation | Sebastian, A., Elharrouss, O., Al-Maadeed, S., & Almaadeed, N. (2023). GAN-Based Approach for Diabetic Retinopathy Retinal Vasculature Segmentation. Bioengineering, 11(1), 4. |
Abstract | Most diabetes patients develop a condition known as diabetic retinopathy after having diabetes for a prolonged period. Due to this ailment, damaged blood vessels may occur behind the retina, which can even progress to a stage of losing vision. Hence, doctors advise diabetes patients to screen their retinas regularly. Examining the fundus for this requires a long time and there are few ophthalmologists available to check the ever-increasing number of diabetes patients. To address this issue, several computer-aided automated systems are being developed with the help of many techniques like deep learning. Extracting the retinal vasculature is a significant step that aids in developing such systems. This paper presents a GAN-based model to perform retinal vasculature segmentation. The model achieves good results on the ARIA, DRIVE, and HRF datasets. |
Sponsor | This research work was made possible by research grant support (IRCC-2023-223) from Qatar University Research Fund in Qatar. |
Language | en |
Publisher | Multidisciplinary Digital Publishing Institute (MDPI) |
Subject | deep learning diabetic retinopathy fundus images GAN retinal blood vessel segmentation |
Type | Article |
Issue Number | 1 |
Volume Number | 11 |
ESSN | 2306-5354 |
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Computer Science & Engineering [2284 items ]