Brain Tumor Detection and Classification using Firefly Optimization Combined with Naive Bayes Classifier

Abstract

Study & Cure on brain tumor is need of hour as it’s one of critical disease found globally. Basic cause of origin is due to growth of self-triggered cell in brain which overall limits             the functionality of brain. Multiple techniques are already in the market with few limitations. MRI Images is initial step for diagnosis of brain tumor, though its challenging & innovative field proved in medical field. In order to overcome limitation in existing automation techniques, following practices & models have been deployed for better outcomes. This paper will use Principle Component analysis for feature extraction and optimization will be done with the Firefly Optimization Technique which further classify with the help of Naïve Bayes Classifier