Brain Tumor Detection Using Convolutional Neural Network In Deep Learning

Abstract: Brain tumors are the most common and the aggressive leading to very short extensive in their higher grade thus treatment planning is the highest grade key stages to improve the quality of patients. Brain Tumor Segmentation is one of the most crucial and arduous tasks in the terrain of medical image processing as a human-assisted manual. Magnetic resonance image is the image widely used for imaging technique to access these tumors but large amount of data produced by(MRI) privence manual segmentation in a reasonable time. Brain tumor is also known as aberrant growth of cells a particular region of a human body. Results show that the CNN archives rate of 97.5% accuracy with low complexity and compared with the all other state of arts methods

Keywords: Brain tumor, Brain cancer, Magnetic Resonance Imaging (MRI), CNN (Convolution Neural Networks), Convolutional Layer, Pooling Layer, Fully Connected Layer etc.