Ricerc@Sapienza

Brain cancer has an uncontrolled growth and it may occur at any part of the brain. It has been quite challenging to detect which part of the brain contains the cancer. So defined is the biggest challenge for brain cancer is the segmentation of brain from the healthy part. Several challenges have been conducted by BRATS for this purpose. One of the most commonly found and hard to detect brain tumors is gliomas having irregular shape and ambiguous boundaries. An accurate and timely diagnosis is required to make sure of the survival of the subject. The purpose of this research is to create an algorithm using deep neural network and create a segmentation technique which is supposed to result in accurate results, faster in working and intelligent in performance. The proposed model will be trained and tested on the images provided by BRATS.