Authors:
Isabel Heloíse Santos Silva
1
;
Ramoni Reus Barros Negreiros
1
;
André Luiz Firmino Alves
1
;
2
;
Dalton Cézane Gomes Valadares
3
;
2
;
4
and
Angelo Perkusich
2
;
4
Affiliations:
1
Federal Institute of Paraíba (IFPB), Picuí, PB, Brazil
;
2
Federal University of Campina Grande, Computer Science, Campina Grande, PB, Brazil
;
3
Federal Institute of Pernambuco, Mechanical Engineering Department, Caruaru, PE, Brazil
;
4
VIRTUS RDI Center, Campina Grande, PB, Brazil
Keyword(s):
Artificial Neural Networks, ANNs, Machine Learning, Image-based Diagnosis, Radiographic Images.
Abstract:
The new coronavirus pandemic has brought disruption to the world. One of the significant dilemmas to be solved by countries, especially in underdeveloped countries like Brazil, is the lack of mass testing for the population. An alternative to these tests is detecting the disease through the analysis of radiographic images. To process different types of images automatically, we employed deep learning algorithms to achieve success in recognizing different diagnostics. This work aims to train a deep learning model capable of automatically recognizing the Covid-19 diagnosis through radiographic images. Comparing images of coronavirus, healthy lung, and bacterial and viral pneumonia, we obtained a result with 94% accuracy.
