Explainability of Diabetic Retinopathy Detection and Classification with Deep Learning Hybrid Architecture: AlterNet-K and ResNet-101
- DOI
- 10.3390/ecsoc-29-26888
- Published
- 11
- Container
- Chemistry Proceedings
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.3390/ecsoc-29-26888,
title = {Explainability of Diabetic Retinopathy Detection and Classification with Deep Learning Hybrid Architecture: AlterNet-K and ResNet-101},
author = {Lavkush Gupta and Richa Gupta and Parul Agarwal and Suraiya Praveen},
year = {2025},
journal = {Chemistry Proceedings},
doi = {10.3390/ecsoc-29-26888},
url = {https://doi.org/10.3390/ecsoc-29-26888}
}RIS
TY - JOUR TI - Explainability of Diabetic Retinopathy Detection and Classification with Deep Learning Hybrid Architecture: AlterNet-K and ResNet-101 AU - Lavkush Gupta AU - Richa Gupta AU - Parul Agarwal AU - Suraiya Praveen PY - 2025 JO - Chemistry Proceedings DO - 10.3390/ecsoc-29-26888 UR - https://doi.org/10.3390/ecsoc-29-26888 ER -
APA
Gupta, L., Gupta, R., Agarwal, P., & Praveen, S. (2025). Explainability of Diabetic Retinopathy Detection and Classification with Deep Learning Hybrid Architecture: AlterNet-K and ResNet-101. Chemistry Proceedings. https://doi.org/10.3390/ecsoc-29-26888
Source records
- doaj · retrieved 2026-11-10T13:06:30.524Z