Retracted: Innovative Detection of Brain Tumor using Conventional Neural Networks Classifier and comparison with Support Vector Machine Classifier

Abstract

The proposed work aims to determine the accuracy in brain tumour detection using Support Vector Machine (SVM) and Conventional Neural Networks (CNN) algorithm. Conventional Neural Networks is applied to the Brain Tumor Dataset that consists of 37 records. Sample size is calculated using G power and determined as 10 per group for both algorithms with pretest power 80% and threshold value as 0.05. Conventional Neural networks have 98.66% provides high accuracy in predicting brain tumors compared with Support Vector Machine which have 93.48%. There is a significant difference of 0.0001 (p¡0.05, two tailed) between the groups. The work proves that Conventional Neural Networks exhibit better accuracy than Support Vector Machine in predicting brain tumors.