RECOGNIZATION AND SYSTEMATIZATION OF MR IMAGES USING FUZZY C-MEANS AND CNN

Brain tumors are the consequence of abnormal growths and uncontrolled cells division in the brain. Brain tumors lead to death if not detected early and accurately. Recently deep learning has been a major role in the field of computer vision. One of its applications is the reduction of human judgment in the diagnosis of diseases.Especially, brain tumor diagnosis requires high accuracy, where minute errors in judgment may lead to disaster. For this reason, brain tumor segmentation is an important challenge for medical purposes. Currently several methods exist for tumor segmentation but they all lack high accuracy. Our paper contributes a solution for brain tumor segmenting by using deep learning. This work, is a study of different angles of brain MR images segmentation. The effect of using separate networks for segmentation of MR images is evaluated by comparing the results with a single network. When Deep Learning algorithm is applied on the MRI images, the prediction of brain tumor is done at a very greater speed and a higher accuracy helps in providing the treatment to the patients