Diabetic Retinopathy Detection with Uncertainty scores: A Combined Approach Using Transfer Learning and Ensemble Calibration

Preeti Verma; Sivasankar Elango; Kunwar Singh

doi:10.14201/adcaij.32209

Diabetic Retinopathy Detection with Uncertainty scores: A Combined Approach Using Transfer Learning and Ensemble Calibration

Preeti Verma

Department of CSE National Institute of Technology, Tiruchirappalli, Tamilnadu, India, 620015 Preeti.verma02[at]gmail.com
Sivasankar Elango

Department of CSE National Institute of Technology, Tiruchirappalli, Tamilnadu, India, 620015
Kunwar Singh

Department of CSE(AI), KIET Group of Institution, Delhi- NCR, Ghaziabad, Uttar Pradesh, 201206

https://doi.org/10.14201/adcaij.32209

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How to Cite

Verma, P., Elango, S., & Singh, K. (2025). Diabetic Retinopathy Detection with Uncertainty scores: A Combined Approach Using Transfer Learning and Ensemble Calibration. ADCAIJ: Advances in Distributed Computing and Artificial Intelligence Journal, 14, e32209. https://doi.org/10.14201/adcaij.32209

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Editorial dates

Submitted:

21-06-2024

Acceptance:

06-12-2025

Published:

09-12-2025

Issue

Vol. 14 (2025)

Section

Articles

Keywords

calibration
deep models
transfer leaning
diabetic retinopathy
uncertainty

Supporting agencies

This research didn't have any funding

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