A novel approach based on image processing algorithms for microaneurysm candidate detection
Abstract
Interpretting color fundus images by doctors is enhanced by computer-aided detection (CAD). Microaneurysm (MA) detection in CAD is an important step to identify the retinal diseases automatically. However, MA detection is still a challenging task due to t
URI
https://doi.org/10.1109/IDAP.2017.8090215http://dspace.beu.edu.tr:8080/xmlui/handle/20.500.12643/13068
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