Hybrid 3D CNN and ResNet Deep Transfer Learning for High-Resolution Hippocampal Atrophy Mapping and Automated Alzheimer's MRI Diagnosis
3D U-Net hippocampal segmentation fused with multi-scale ResNet achieves 97.31% accuracy and 92.84% DSC. Validated on ADNI + OASIS datasets with Grad-CAM and SHAP interpretability.
About the author
This paper is authored by Vanshaj Awasthi, a Full Stack Developer based in Pune, Maharashtra, India, with 17+ peer-reviewed publications across IEEE and Springer in medical AI and deep learning, and two IEEE Best Paper Awards. Bachelor of Technology - Computer Science, Amity University Mumbai.
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