Optimization technique, curve fitting and machine learning used to detect Brain Tumor in MRI

Image processing has a sub-branch of Image Segmentation in which images are segmented to collect information regarding image or a particular region. There are various application of Image Segmentation among them Medical Image Analysis is a popular application. Analysis of Medical Image provides information to the doctor for the treatment from MRI or CT images. Volumes of tissues, Brain Tumor detection are some of the applications of image segmentation in medical image analysis. Many researches have been occurred in order to detect tumor present in the brain, the area of tumor, the type of tumor present. The following paper proposes a new algorithm for the detection of brain tumor using MRI. The proposed method is implemented using Optimization Technique, Machine Learning and Curve Fitting Techniques to detect tumor. The proposed method proves to be efficient, 16.39% accurate and 9.53% precised then the existing work.