A healthcare system using deep learning

Abstract

Classification of images is useful for extracting different useful information, for example, classification of animals (cat, dog...etc), classification of plants, classification of X-ray images to tell the injured from the uninfected, all these things are useful, in this thesis we are interested in developing A system for identifying the type of insect from the stinger using deep learning. The proposed approach is to try several models of the convolution neural network (CNN) and see the classification ability of each model and then apply the learning set method to improve the system's classification accuracy. We run experiments on our own dataset created with careful research and effort and the help of an expert in the medical field and guidance to know the features of each bite