Paper Title
DEVELOPINGBRAIN TUMOUR DETECTION MODEL IN PYTHON-A BRIEF OVERVIEW

Abstract
Abstract - Now a days Machine & Deep Learning have demonstrated promising results in a number of healthcare-related areas, most notably disease prognosis utilising clinical imaging modalities. Deep learning can be used, for example, to identify brain cancers from MRI images. A brain tumour is a disease that is extremely serious. To ascertain if a person has this disease or not, MRI is used. Given its intricacy, detecting brain tumours via MRI is a challenging task. The steps that can be utilised to create a classifier to identify the brain tumour from the data are defined in this paper. The programming language used to construct classifier is python. Keywords - CNN (Convolutional Neural Networks),Tensor Flow, Keras, Numpy, MRI (Magnetic Resonance Imaging)