Toward interpretable multiclass semantic intelligence: explainable brain tumor segmentation and automated grade stratification
Abstract Purpose Accurate brain tumor grade classification from magnetic resonance imaging is essential for diagnosis, treatment planning, and prognosis assessment. Although deep learning models have demonstrated strong performance, many lack clinical validation, robustness across datasets, and interpretability for dec...
S. Berlin Shaheema, Suganya Devi, J. Jasper et al.
· The Egyptian Journal of Radi... · 0 citations