A retinal vessel detection approach using convolution neural network
Abstract
Computer-aided detection (CAD) provides an efficient way to assist doctors to interpret fundus images. In a CAD system, retinal vessel (RV) detection is an important step to identify the retinal disease regions automatically and accurately. However, RV de
URI
https://doi.org/10.1109/IDAP.2017.8090331http://dspace.beu.edu.tr:8080/xmlui/handle/20.500.12643/13067
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