DiaNet: A Deep Learning Based Architecture to Diagnose Diabetes Using Retinal Images Only-Reference-Cited by-同舟云学术

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DiaNet: A Deep Learning Based Architecture to Diagnose Diabetes Using Retinal Images Only

Published:2021 Issue: Volume:9 Page:15686-15695
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Islam Mohammad Tariqul,Al-Absi Hamada R. H.,Ruagh Essam A.,Alam Tanvir^ORCID

Funder

Qatar National Library (QNL), Doha, Qatar

Qatar Biobank

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science

Link

http://xplorestaging.ieee.org/ielx7/6287639/9312710/09328261.pdf?arnumber=9328261

Cited by 38 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Artificial Intelligence in Diabetes Management: Revolutionizing the Diagnosis of Diabetes Mellitus; a Literature Review;Shiraz E-Medical Journal;2024-07-23

2. Machine and deep learning techniques for the prediction of diabetics: a review;Multimedia Tools and Applications;2024-07-16

3. Supervised Machine Learning-Based Models for Predicting Raised Blood Sugar;International Journal of Environmental Research and Public Health;2024-06-27

4. A Deep Learning Model for Diagnosing Diabetic Retinopathy Using EfficientNet-B0;2024 IEEE Students Conference on Engineering and Systems (SCES);2024-06-21

5. An ensemble-based machine learning model for predicting type 2 diabetes and its effect on bone health;BMC Medical Informatics and Decision Making;2024-05-29

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