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Journal of Computer Science Research

ISSN: 2630-5151 (Online)

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Article
Lightweight Deep Learning for Early Diabetic Retinopathy Detection: Benchmarking, Efficiency, and Applicability in Resource-Constrained Healthcare

Olufunke Catherine Olayemi, Olasehinde Olayemi Olasehinde, Olugbenga O. Akinade

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Article ID: 115983 DOI：https://doi.org/10.30564/jcsr.v7i3.12251
577 (Abstract) 322 (Download)

Abstract: Diabetic retinopathy (DR) remains a leading cause of preventable blindness worldwide, with its burden most acute in resource-limited settings where access to specialist care and advanced diagnostic tools is restricted. Early detection is vital to mitigate vision loss, yet most state-of-the-art deep learning models demand high computational resources, hindering deployment in such environments. This paper proposes and validates a lightweight... More
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