Convolution neural networks: A case study on brain tumor segmentation in medical care

Abstract

Image segmentation is dividing of medical imaging into parts and extracting the regions of interest. The study involves the images of brain tumors where the tumor part is segmented from the image and analyzed accurately and efficiently. Convolution Neural Network (CNN) has made a tremendous progress in the field of the Medical and Information Technology. With CNN model, one may not be able to reorganize higher risk patients to get immediate aid they require but also communicate through the network to the clinicians, surgeons, eventually improving the standard of patient care in the medical system.