A novel retinal vessel detection approach based on multiple deep convolution neural networks
Abstract
Background and objective: Computer aided detection (CAD) offers an efficient way to assist doctors to interpret fundus images. In a CAD system, retinal vessel (RV) detection is a crucial step to identify the retinal disease regions. However, RV detection
URI
http://dspace.beu.edu.tr:8080/xmlui/handle/20.500.12643/10207https://doi.org/10.1016/j.cmpb.2018.10.021
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