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Author

K. Narayanan

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2 papers indexed here

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Open access Dec 2026

Transforming diabetic retinopathy detection with deep learning and handcrafted feature fusion

The task of early and accurate screening of diabetic retinopathy (DR) from fundus images is affected by the presence of class imbalance, small grade differences, and the lack of interpretability of deep learning models. This paper proposes HandEffiTrans-DR, a hybrid model that represents lesion statistics as semantic t...

G. Murali, K. Narayanan · 0 citations
Open access Sep 2026

Lesion-semantic token guided transformer fusion for stage-adaptive diabetic retinopathy grading and screening

Diabetic retinopathy (DR) screening from retinal fundus images is still difficult because of the heterogeneity of lesions, significant class imbalance, and low reliability of existing deep learning algorithms owing to their generic feature pooling and passive fusion mechanisms. To overcome such limitations, this study...

Murali Gujjula, K. Narayanan · 0 citations

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