Department of Computer Science and Engineering Reports Findings in Brain Cancer (Enhancing multiclass brain tumor diagnosis using SVM and innovative feature ext raction techniques)
Department of Computer Science and Engineering Reports Findings in Brain Cancer (Enhancing multiclass brain tumor diagnosis using SVM and innovative feature ext raction techniques)
By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Oncology - Brain Cance r is the subject of a report. According tonews reporting originating in Mangalu ru, India, by NewsRx journalists, research stated, “In the field ofmedical imag ing, accurately classifying brain tumors remains a significant challenge because of the visualsimilarities among different tumor types. This research addresses the challenge of multiclass categorizationby employing Support Vector Machine (SVM) as the core classification algorithm and analyzing its performancein conj unction with feature extraction techniques such as Histogram of Oriented Gradien ts (HOG)and Local Binary Pattern (LBP), as well as the dimensionality reduction technique, Principal ComponentAnalysis (PCA).”
Key words
Mangaluru/India/Brain Cancer/Cancer/Dimensionality Reduction/Emerging Technologies/Health and Medicine/Machine Le arning/Oncology/Support Vector Machines
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