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Author

Subashini N. J.

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2 papers indexed here

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Open access Oct 2026

Deep attention transformer models for chronic kidney disease stage prediction

Chronic kidney disease (CKD) is a growing health problem that demands accurate stage prediction for timely clinical intervention. Conventional machine learning (ML) models, although widely used, often struggle to capture complex, non-linear relationships in clinical data. To address this limitation, this study proposes...

Subashini N. J., Venkatesh Kaliyamurthy · 0 citations
Conference Aug 2026

ResNet50 Versus VGG16 for MRI Brain Tumor Detection: A Transfer-Learning Study with Visual Explanation

Accurate detection of brain tumors from magnetic resonance imaging (MRI) is essential for early diagnosis and treatment planning. However, manual interpretation of MRI scans is time-consuming, requires experienced radiologists, and is subject to inter-observer variability. To address these challenges, this study propos...

Pushparaj E, Subashini N. J. · 0 citations

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