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.