Effective COVID-19 Screening using Chest Radiography Images via Deep Learning

Uboho Victor, Xishuang Dong, Xiangfang Li, Pamela Obiomon, Lijun Qian
2020 2020 Fourth International Conference on Multimedia Computing, Networking and Applications (MCNA)  
Timely and accurate screening/testing is crucial to fighting COVID-19. Compared to commonly used reversetranscriptase polymerase chain reaction (RT-PCR), chest radiography imaging (X-ray) is also a reliable, practical and rapid method to diagnose and assess COVID-19. In this paper, two types of deep learning models, namely, Convolutional Neural Networks (CNN) and Residual Neural Networks (ResNet) have been designed and tested for accurate diagnosis of COVID-19 with chest X-ray images.
more » ... y images. Experimental results demonstrate the effectiveness of the proposed approach.
doi:10.1109/mcna50957.2020.9264294 fatcat:raje7ouiz5fpvde65w4fmpleja