CLAHE-Augmented MRI Dementia Classification via Soft-Voting Ensemble with Gradient-Based Analysis
Soft-voting ensemble (ResNet-50, DenseNet-121, ConvNeXt, Swin Transformer, ViT) with CLAHE preprocessing achieves AUC-ROC 0.99/0.97 across 87,000+ MRI scans for dementia severity classification.
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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