A practical Deep Learning approach to assist COVID-19 detection based on Chest X-ray images

Thiago Fellipe Ortiz de Camargo,Paulo Victor dos Santos,Sthefanie Monica Premebida,Guilherme Alberto Sousa Ribeiro, Mayler Olombrada, Vinicios Roberto Soares,Rommel Melgaço Barbosa,Wesley Calixto Pacheco,Cleomar Rocha,Cristhiane Gonçalves,Fernanda Cristina Correa, Virgínia Helena Varotto,Marcella Scoczynski

2021 IEEE Latin American Conference on Computational Intelligence (LA-CCI)（2021）

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摘要

Given the large number of COVID-19 cases around the world, a practical solution to decrease and relieve the queue of patients in the hospitals and in the health care systems is welcome. Fast and reliable diagnosis based on technological tools can support medical professionals to manage this bottleneck situation, such as the diagnostic based on image techniques, which allows non-intrusive procedure...

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COVID-19,Deep learning,Training,Pipelines,Lung,Computer architecture,Object detection

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