MediScan AI: Brain Tumor Detection Using Hybrid Model

Identification of a brain tumor is a very critical task. Magnetic resonance imaging is a medical imagining test that create comprehensive images of almost every internal structure in human body. Early detection of brain tumour can save patient's life. Timely and correct diagnosis can significantly help to improve patient outcomes. Machine learning techniques such as ensembling techniques that use multiple model such as support vector machine, logistic regression, random forest together to improve the accuracy. In this study, we propose a web platform for the users which will help them to upload the MRI image and get the predicted output. The brain tumor detection allows the breakdown of tumor cells to identify the extent of tumor present in particular region and locate an abnormal cell mass on a slice of magnetic resonance imaging (MR).