Deep learning innovations in diagnosing diabetic retinopathy: The potential of transfer learning and the DiaCNN model-Reference-Cited by-同舟云学术

Deep learning innovations in diagnosing diabetic retinopathy: The potential of transfer learning and the DiaCNN model

Published:2024-02 Issue: Volume:169 Page:107834
ISSN:0010-4825
Container-title:Computers in Biology and Medicine
language:en
Short-container-title:Computers in Biology and Medicine

Author:

Shoaib Mohamed R.^ORCID,Emara Heba M.,Zhao Jun^ORCID,El-Shafai Walid^ORCID,Soliman Naglaa F.,Mubarak Ahmed S.,Omer Osama A.,El-Samie Fathi E. Abd,Esmaiel Hamada

Funder

Princess Nourah bint Abdulrahman University

Publisher

Elsevier BV

Subject

Health Informatics,Computer Science Applications

Reference45 articles.

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4. Novel imaging biomarkers in diabetic retinopathy and diabetic macular edema;Markan;Ther. Adv. Ophthalmol.,2020

5. Lowering of blood pressure and predictors of response in patients with left ventricular hypertrophy: the LIFE study;Kjeldsen;Amer. J. Hypertens.,2000

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