Brain Tumor Detection and Classification Using Intelligence Techniques: An Overview

A tumor is carried on by rapid and uncontrolled cell growth in the brain. If it not treated initial phases, could prove fatal. Despite numerous significant efforts encouraging outcomes, accurate segmentation classification continue to be a challenge. Detection of brain tumors significantly complicated distinctions position, structure, proportions. The main disinterest this study stays offer investigators, comprehensive literature Magnetic Resonance (MR) imaging’s ability identify tumors. Using computational intelligence statistical image processing techniques, research paper proposed several ways detect cancer This also shows an assessment matrix for specific system using particular systems dataset types. explains morphology tumors, accessible data sets, augmentation methods, component extraction, categorization among Deep Learning (DL), Transfer (TL), Machine (ML) models. Finally, our compiles all relevant material identification understanding including their benefits, drawbacks, advancements, upcoming trends.