Paper Key : IRJ************852
Author: V.s.vivek Kumaar,P.rajeshwari
Date Published: 17 Nov 2023
Abstract
This study introduces an innovative approach to brain tumor analysis, amalgamating automated segmentation with stage classification through an SVM classifier. Subsequent to segmentation, a feature extraction process captures crucial information encompassing tumor shape, texture, and variations in intensity. These features are then utilized as input for an SVM classifier, adeptly trained to distinguish between various tumor stages. The amalgamation of these processes furnishes a comprehensive framework for precise tumor evaluation, holding the potential to significantly impact the domain of neuro-oncology by assisting medical professionals in delivering more personalized and efficient treatment strategies.
DOI LINK : 10.56726/IRJMETS45075 https://www.doi.org/10.56726/IRJMETS45075