In 2019 a new Syndrome appear on the Large numbers of people like (High temperature, cough, Loss of sense of smell and taste(forcing a lot of them to enter the critical care unit after while the virus how case this syndrome named (SARS-CoV2). The aim of this paper is recognize the patient who effected by covid-19 or not using x- ray images. Deep learning techniques utilized to classify these images by using convolutional neural network (CNN). The dataset have been utilized in this work consist of 1000 x-ray images collected from kaggle website and divided it into 80% for training and 20% for validation. The proposed method using the pertained networks such as (EffienentNet B0, ResNet50) to minimize the training time with high performance, where the EffienentNet B0 network give high accuracy is 98.5%,finaly the model has been implemented on raspberry pi3 successfully for classification task.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.