Publicado en 3C Tecnología – Volume 12 Issue 1 (Ed. 43)

Autores

Omar Alsaif
Mohammed L. Muammer

Resumen

Abstract

 

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.

Artículo

Palabras clave

Keywords

Covid19; Deep learning; CNN.

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