Open AccessAn automated diabetic retinopathy disorders detection model based on pretrained MobileNetv2 and nested patch division using fundus images
Author(s) -
Hakan Yıldırım,
Ülkü Çeliker,
Sabiha Güngör Kobat,
Şengül Doğan,
Mehmet BAYĞIN,
Orhan Yaman,
Türker Tuncer,
Murat Erdağ
Publication year - 2022
Publication title -
journal of health sciences and medicine
Language(s) - English
Resource type - Journals
ISSN - 2636-8579
DOI - 10.32322/jhsm.1184981
Subject(s) - artificial intelligence , fundus (uterus) , computer science , pattern recognition (psychology) , feature (linguistics) , deep learning , diabetic retinopathy , contextual image classification , division (mathematics) , random forest , computer vision , image (mathematics) , mathematics , medicine , ophthalmology , linguistics , endocrinology , diabetes mellitus , arithmetic , philosophy
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