An efficient explainable deep neural network classifier for diabetic retinopathy detection-Reference-Cited by-同舟云学术

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An efficient explainable deep neural network classifier for diabetic retinopathy detection

Published:2024-08-23 Issue: Volume: Page:1-16
ISSN:1206-212X
Container-title:International Journal of Computers and Applications
language:en
Short-container-title:International Journal of Computers and Applications

Author:

Mecili Oualid¹²^ORCID,Barkat Hadj¹,Nouioua Farid¹²³,Attia Abdelouahab¹²,Akhrouf Samir⁴

Affiliation:

1. Department of Computer Science, University Mouhamed El Bachir El Ibrahimi of Bordj Bou Arreridj, Algeria

2. LMSE Laboratory (Laboratory Materials and Electronic System), University Mohamed El Bachir El Ibrahim of Bordj Bou Arreridj, Algeria

3. LIS UMR-CNRS 7020, Aix-Marseille University, France

4. Department of Computer Science, Mohamed Boudiaf University of Msila, Algeria

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/1206212X.2024.2389342

Reference36 articles.

1. International Diabetes Federation -- Home. https://idf.org/.

2. Home; Resources; diabetes L. w.; Acknowledgement; FAQs; Contact; Policy P. IDF Diabetes Atlas | Tenth Edition.

3. A survey on machine and deep learning for detection of diabetic RetinopathY;Attia A;ICTACT J Image Video Process,2020

4. Automatic detection of retinal hemorrhages by exploiting image processing techniques for screening retinal diseases in diabetic patients

5. IEEE Access

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