Wavelet and deep learning-based detection of SARS-nCoV from thoracic X-ray images for rapid and efficient testing

This paper proposes a wavelet and artificial intelligence-enabled rapid and efficient testing procedure for patients with Severe Acute Respiratory Coronavirus Syndrome (SARS-nCoV) through a deep learning approach from thoracic X-ray images. Presently, the virus infection is diagnosed primarily by a...

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Detalles Bibliográficos
Autores principales: Verma, Amar Kumar, Vamsi, Inturi, Saurabh, Prerna, Sudha, Radhika, G.R., Sabareesh, S., Rajkumar
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier Ltd. 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8327617/
https://www.ncbi.nlm.nih.gov/pubmed/34366576
http://dx.doi.org/10.1016/j.eswa.2021.115650

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8327617/
https://www.ncbi.nlm.nih.gov/pubmed/34366576
http://dx.doi.org/10.1016/j.eswa.2021.115650

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