Semantic Segmentation of Eye Fundus Images Using Convolutional Neural Networks
Open Access
- 28 December 2020
- journal article
- Published by Vilnius University Press in Informacijos mokslai
- Vol. 90, 116-128
- https://doi.org/10.15388/im.2020.90.53
Abstract
The article reviews the problems of eye bottom fundus analysis and semantic segmentation algorithms used to distinguish eye vessels, optical disk. Various diseases, such as glaucoma, hypertension, diabetic retinopathy, macular degeneration, etc., can be diagnosed by changes and anomalies of vesssels and optical disk. For semantic segmentation convolutional neural networks, especially U-Net architecture, are well suited. Recently a number of U-Net modifications have been developed that deliver excellent performance results.Keywords
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