BRAIN TUMOR DISEASE DETECTION USING MACHINE LEARNING TECHNIQUES

Abstract

Abstract—The purpose of this research is to discover the causes of brain tumors and improve the treatment of such conditions. Tumors are abnormal growths of brain cells, and malignant tumors are malignant tumors. ACT or MRI scans are usually used to identify cancerous areas in brain. In addition to positron emission tomography and cerebral angiography, spinal taps and molecular tests are used to detect brain tumors. Our study aims to identify abnormal images and segment the tumor area. Anomalies in MRI images can be detected using deep learning techniques. Multi-level thresholding methods is a method to divide the area surrounding the tumors. Deep learning techniques provide indications of the density of the affected areas based on the number of malicious pixels.