most citedDiffusion-Based Feature Denoising and Using NNMF for Robust Brain Tumor Classification

1 citations · 1 across the 2 of their papers we have counts for

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2 papers

cs.CV2026★ 1 cited

Diffusion-Based Feature Denoising and Using NNMF for Robust Brain Tumor Classification

Hiba Adil Al-kharsan, Róbert Rajkó

Brain tumor classification from magnetic resonance imaging, which is also known as MRI, plays a sensitive role in computer-assisted diagnosis systems. In recent years, deep learnin…

cs.CV2026

Diffusion-Based Feature Denoising with NNMF for Robust handwritten digit multi-class classification

Hiba Adil Al-kharsan, Róbert Rajkó

This work presents a robust multi-class classification framework for handwritten digits that combines diffusion-driven feature denoising with a hybrid feature representation. Inspi…