Diseases Diagnosis Using Machine Learning of Medical Images

Abstract

Recently, the various diseases are infecting the humans due to their living environmental and the changes of the environmental. It is much important to identification and prediction of such diseases at earlier stages to prevent the outbreak these diseases. The identification of these diseases manually by the doctors is difficult. There are many of the chronic diseases that affect human. One of these diseases is the brain tumors that arise by the abnormal growth and division of brain cells which leads to brain cancer. The computer vision plays important role in human health field which gives accurate results that helps the human to tack the true decision. In addition, traditional technics are time consuming, expensive and addressed problem requires expert knowledge. This research aims to focus on the using simple deep learning architecture with accurate results. Moreover, the Convolution Neural Network (CNN) algorithm is used for reliable Classification of the brain tumor Image. The proposed models are showed very good results and reached almost 96.4% accuracy on Brain MRI Images for Brain Tumor Detection1 dataset.