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
