MultiRetNet: A Lightweight Explainable AI Approach to Diabetic Retinopathy Grading and DME Detection Using Fundus–OCT Fusion

Saad Islam, Ravinesh C. Deo, U. Rajendra Acharya, Prabal Datta Barua, Jeffrey Soar

Open source

DOI
10.3390/jimaging12060236
Published
2026-05-28
Container
Journal of Imaging
Publisher
MDPI AG
Open access
unknown

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BibTeX

@article{allodium:10.3390/jimaging12060236,
  title = {MultiRetNet: A Lightweight Explainable AI Approach to Diabetic Retinopathy Grading and DME Detection Using Fundus–OCT Fusion},
  author = {Saad Islam and Ravinesh C. Deo and U. Rajendra Acharya and Prabal Datta Barua and Jeffrey Soar},
  year = {2026},
  journal = {Journal of Imaging},
  doi = {10.3390/jimaging12060236},
  url = {https://doi.org/10.3390/jimaging12060236}
}

RIS

TY  - JOUR
TI  - MultiRetNet: A Lightweight Explainable AI Approach to Diabetic Retinopathy Grading and DME Detection Using Fundus–OCT Fusion
AU  - Saad Islam
AU  - Ravinesh C. Deo
AU  - U. Rajendra Acharya
AU  - Prabal Datta Barua
AU  - Jeffrey Soar
PY  - 2026
JO  - Journal of Imaging
DO  - 10.3390/jimaging12060236
UR  - https://doi.org/10.3390/jimaging12060236
ER  - 

APA

Islam, S., Deo, R. C., Acharya, U. R., Barua, P. D., & Soar, J. (2026). MultiRetNet: A Lightweight Explainable AI Approach to Diabetic Retinopathy Grading and DME Detection Using Fundus–OCT Fusion. Journal of Imaging. https://doi.org/10.3390/jimaging12060236

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