Combining NNMF feature selection with lightweight CNN and diffusion-based denoising creates a more robust system for brain tumor classification from MRI under adversarial conditions.
MATLAB was applied to NNMF for the extraction of features, statistical classification, CNN training, and a diffusion-based purification system
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Diffusion-Based Feature Denoising and Using NNMF for Robust Brain Tumor Classification
Combining NNMF feature selection with lightweight CNN and diffusion-based denoising creates a more robust system for brain tumor classification from MRI under adversarial conditions.