EventsThe 29th International Electronic Conference on Synthetic Organic Chemistry
Event submissions
Published
with-doi10.3390/ecsoc-29-26888
This submission belongs to the session S4. Computational Chemistry of the event The 29th International Electronic Conference on Synthetic Organic Chemistry
Published date
13 Nov, 2025
Academic Editor
author-avatarJulio A. Seijas
Citation
Lavkush Gupta, Richa Gupta, Parul Agarwal, Suraiya Praveen, Explainability of Diabetic Retinopathy Detection & classification with Deep Learning Hybrid Architecture: AlterNet-k & ResNet-101, in Proceedings of The 29th International Electronic Conference on Synthetic Organic Chemistry, 14 November–28 November 2025, MDPI: Basel, Switzerland, doi: 10.3390/ecsoc-29-26888
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Explainability of Diabetic Retinopathy Detection & classification with Deep Learning Hybrid Architecture: AlterNet-k & ResNet-101

Lavkush Gupta 1
Richa Gupta 2
Parul Agarwal 2
Suraiya Praveen 2
1. Department of Computer Science, Shyama Prasad Mukherji College for Women, University of Delhi, Delhi, India
2. Department of Computer science & Engineering, School of Engineering Sciences & Technology, Jamia Hamdard University, New Delhi, Delhi, India
Abstract
Keywords
Artificial Intelligence
Diabetic Retinopathy
Computer aided diagnosis
Deep Learning Architectures
Ophthalmology
Fundus Images