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Winsys : Proceedings of the 19th International Conference on Wireless Networks and Mobile Systems
; : 93-100, 2022.
Article
in English
| Web of Science | ID: covidwho-2044135
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.