WITHDRAWN: Brain tumor identification using deep learning

Abstract

In today’s world, brain tumor is detected in many people. The count of people affected with brain tumor, increases every day, irrespective of age and gender. The survival rates of brain tumor is very less when compared to other tumor cells. Brain tumor is the abundant growth of thick and unusual cells in brain. Brain tumor perhaps can be malignant tumor or benign. Malignant tumors aggressively spread to distant part of the body. Tumor that does not spread nearby tissue called as benign. Detection of brain tumor using various technologies is still under research. Brain tumor identification and segmentation in recent years is done by Magnetic Resonance Imaging (MRI). Software for accurate identification of brain tumor is still under existence. So, we propose an idea for identification and segmentation of brain tumor using deep learning. The first step will be processing the Magnetic Resonance Imaging (MRI) by giving it as the input, it is analyzed and segmented using various deep learning techniques such as initializing the CNN, pooling, flattening, compiling the CNN using Tensor Flow as backend. Thus, Identification and segmentation of brain tumor can be identified easily and efficiently.