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Original Article

Developing a Transparent Diagnosis Model for Diabetic Retinopathy Using Explainable AI

V M Saravana Perumal1 Surya Kiran N2 Venkatesh M3 Veerendra Sehwag4 Tejas R Gowda5
1 Assistant Professor, Department of Computer Science and Engineering, Rajarajeswari College of Engineering, Bengaluru, Karnataka, India. 2 3 4 5 Department of Computer Science and Engineering, Rajarajeswari College of Engineering, Bengaluru, Karnataka, India.

Published Online: November-December 2025

Pages: 124-129

References

1. Lang, G.E. and Bandello, F. (2007) Diabetic Retinopathy. Karger Medical and Scientific Publishers.
2. Kanski’s clinical ophthalmology (2003) A Systematic approach Covers all major topics in opthalmology
3. Pocket Tutor Opthalmology (2017) Author :[ Shyamanga Borooah , Mark Wright]
4. Neuro-Ophthalmic Pitfalls-case Based Teaching (2018) Prevention and Symptoms of Eye Diseases [Cambridge Medicine]
5. Vaughan & Asbury’s General Ophthalmology (2019) Pathogens and disease in human Eye [Massuchuthets Institute]
6. Unnati V.Shukla ; Koushik TripathyStatPearl [Author] Center For Sight New Delhi ASG Eye Hospital , BT road , Kolkata , India.
7. Anita Agarwal Gass’ Atlas of Macular Diseases DR Classification Of Indian Patient Datasets
8. D. Chen and E. Wang A Novel Convolutional Neural Network Architecture for Early Detection of Microaneurysms in Retinal Images New York, NY, USA, 2024
9. F. Singh, G. Kaur, and H. Kumar, Comparative Study of Transfer Learning Models for D R Classification on Indian Patient Dataset IEEE Transactions on Healthcare Informatics
10. Github-Reference https://github.com/souravs17031999/Retinal_blindness_detection_Pytorch

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