Diabetic Retinopathy: Severity Level Classification based on Object Detection (Microaneurysms, Hemorrhages, and Hard Exudates) using Mathematical Morphology and Neural Networks
Author(s) -
Fifi Diah Rosalina,
Dian Candra Rini Novitasari,
Ahmad Hanif Asyhar,
Abdulloh Hamid,
Muhammad Firmansjah
Publication year - 2018
Language(s) - English
Resource type - Conference proceedings
DOI - 10.5220/0008906302720280
Subject(s) - diabetic retinopathy , retinopathy , artificial intelligence , computer science , morphology (biology) , artificial neural network , research object , mathematical morphology , object detection , pattern recognition (psychology) , object (grammar) , medicine , diabetes mellitus , image processing , biology , image (mathematics) , genetics , endocrinology , regional science , geography
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