Performance of ResNet‐18 and InceptionResNetV2 in Automated Detection of Diabetic Retinopathy

ABSTRACT Background Diabetic retinopathy (DR) is a leading cause of blindness worldwide, particularly in diabetic individuals. Manual detection of DR by ophthalmologists is time‐consuming and resource‐intensive, making early automated detection essential for mitigating the risk of vision impairment....

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Bibliographic Details

Published in:	Medicine Advances
Main Authors:	Akwasi Asare, Alvin Adjei Broni, Alex Kwasi Asare Dickson, Mary Sagoe, Joshua Makafui Cudjoe
Format:	Article
Language:	English
Published:	Wiley 2025-09-01
Subjects:	deep learning diabetic retinopathy InceptionResNetV2 ResNet‐18 retinal images sensitivity
Online Access:	https://doi.org/10.1002/med4.70023