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Author

Goutham Veerapu

2 papers indexed here

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Open access Sep 2026

A two-stage deep learning framework with progressive feature fusion and attention mechanisms for multi-class retinal disease classification

Accurate and efficient automated analysis of Optical Coherence Tomography (OCT) images is critical for large-scale retinal disease screening. However, current deep learning models often fail to simultaneously achieve high classification accuracy, practical computational feasibility, and interpretability. To deal with t...

Mithun Vijayan, Goutham Veerapu, N. S. · 0 citations
Open access Aug 2026

A spatial adaptive multi-scale ConvNeXt framework for robust, calibrated, and statistically validated multi-class retinal OCT classification

Accurate classification of retinal diseases from optical coherence tomography (OCT) images is important for clinical decision support. However, many studies in deep learning put the primary focus on enhancing accuracy and often provide limited attention to calibration and robustness under real-world variations. This wo...

Mithun Vijayan, Goutham Veerapu, N. S. · 0 citations

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