Ahmad Shirzadi

In this thesis we designed a model for diagnosis bone defects in X-ray bone image using deep neural network. since this network inspired natural neural network in human body (brain),it first devoted to brain structure and then we’ll define artificial neural network . then it devoted to basical concepts which used in neural network and we’ll express basic definitions . our goal is to diagnose bone defects, for this aim we used a data set which contains a lot of upper extremity images. the model that we designed is devoted to diagnose wrist defects so then we’ll express wrist anatomy and since we used radiology images. also using radiological images as our work tool forced us to introduce radiological images and how to diagnose defects on them in some sections. after express the model architecture we’ll report the results.