Brain Tumor Detection using Image Processing and Machine Learning

Brain tumor is the mass of abnormal tissues that can cause brain damage and also life threatens. It should be diagnosed within time to provide possible treatment and also increase the survival rate of the patient. Some scanning techniques used to diagnose brain tumor are – MRI (Magnetic Resonance Imaging), CT/CAT Scanning (computerized tomography (CT) or computerized axial tomography (CAT), Ultrasound and X-ray. MR imaging is advance high resolution imaging technique which uses magnetic field for scanning purpose. Aim of this paper is to come up with the less time consuming and more accurate diagnosing technique and classifying technique of brain tumor. There are several methods proposed to detect brain tumor using semi-automatic and fully automatic algorithms. After going through different research papers that proposed different methods to make an efficient model to detect brain tumor I proposed a method that take minimal time and gives more accurate tumor area.