Classification of Brain Tumours in MRI Using Deep Learning Algorithms

The proliferation of Medical imaging and analysis on different organs of the human body changed the diagnosis and treatment planning views of radiologists on patients. Among all the other organs of the human body, Brain is a core structure, and the organ regulating the nervous system. The diseases effecting for different organs of the body may limit to that organ or spread to other. However, most of the brain diseases have an impact on the functioning of other organs and these may put the patients in dangerous situation leads to death . So, the identification and treatment planning of brain diseases is an important task. The automation of medical image diagnosis and analysis plays a vital role in treatment decisions. Analysis part of medical images are done by processing them through some image processing techniques. To analyze such medical images, one should have thorough knowledge of anatomy of that organ. A brain tumor known as an irregular mass of tissue, which cells grow and multiply uncontrollably, seemingly uncontrolled by the mechanisms that govern normal cells. Brain is encapsulated with a hard-core called skull is very rigid. Any growth of abnormal cells causes a problem in such a restricted space. Brain tumors can be cancerous (malignant) or noncancerous (benign). According to the world health organization brain tumors are categorized into four types, Grade I, II, III and IV . The grading of the tumors is done based on their attributes.