Study on Brain Tumor Classification Through MRI Images Using a Deep Convolutional Neural Network

摘要

Brain tumor (glioma) is one of the deadliest diseases that attacks humans, and now even men or women aged 20-30 are suffering from this disease. To cure a tumor in a person, doctors use MRI machines because the results of MRI images are proven to provide better image results than CT-scan images, but sometimes it is difficult to distinguish between the MRI images having tumors with images without tumors. However, using features of image processing techniques like scaling, contrast enhancement, and thresholding based in deep neural networks, the scheme can classify the results more appropriately and with high accuracy. In this paper, this study reveals the nitty-gritty of brain tumor (gliomas) and deep learning techniques for better inception in the field of computer vision.