Tabib: A Web-Based Application for Brain Tumor Detection

Abstract

A brain tumor is a collection of abnormal cells in the brain. Skull which encloses the brain is very rigid, any growth inside such a restricted space can cause problems. To detect the abnormal cell existence Magnetic Resonance Imaging (MRI) tests are performed at the hospital which requires a human expert to review the report. Manual segmentation for the Brain Tumor Detection highly relies on the operator’s experience and it is a time-consuming procedure. We aim to develop a web application that will make it easier for patients and physicians to see their MR imaging results by uploading an image on this web application and benefit them by saving time. The proposed solution for the detection of Brain Tumor is developed using Deep Learning Algorithm. The Scrum Agile model is implemented. The project is implemented in python language. The front-end web interface is developed using HTML, CSS, JavaScript and it is integrated using flask framework with model