Predicting the Existence of Brain Tumor in Mri Images by Applying FCNN
Keywords:Image processing, Machine learning, Deep Learning, Neural Networks, Fully Connected Convolutional Neural Networks, Image Segmentation, Tumor Detection, HGG, LGG, Convolutional Layer.
Brain tumors are major causes of death in today’s world and methods of detecting them prematurely require
vast improvement. The objective of this project is to detect the tumors early from MR image scans by
utilizing deep convolutional networks to locate the tumor.The tumor is divided at first in the main stage and
the generated bounding box is utilized for the center of the tumor in second step. This is trailed by division
based on the bounding box of the tumor center division result. Examinations are performed with the BraTS
2017 validation set. This is a numerous division issue.