Enhancing Early Detection of Diabetic Retinopathy Through the Integration of Deep Learning Models and Explainable Artificial Intelligence

Enhancing Early Detection of Diabetic Retinopathy Through the Integration of Deep Learning Models and Explainable Artificial Intelligence

Humans can carry various diseases, some of which are poorly understood and lack comprehensive solutions. Such a disease can exists in human eye that can affect one or both eyes is diabetic retinopathy (DR) which can impair function, vision, and eventually result in permanent blindness. It is one of...

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Bibliographic Details
Main Authors: Kazi Ahnaf Alavee, Mehedi Hasan, Abu Hasnayen Zillanee, Moin Mostakim, Jia Uddin, Eduardo Silva Alvarado, Isabel de la Torre Diez, Imran Ashraf, Md Abdus Samad
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Diabetic retinopathy
transfer learning
CNN
Xception
inception
Grad-CAM
Online Access:https://ieeexplore.ieee.org/document/10539012/
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https://ieeexplore.ieee.org/document/10539012/

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