COVID-19 Chest Computed Tomography to Stratify Severity and Disease Extension by Artificial Neural Network Computer-Aided Diagnosis

Purpose: This work aims to develop a computer-aided diagnosis (CAD) to quantify the extent of pulmonary involvement (PI) in COVID-19 as well as the radiological patterns referred to as lung opacities in chest computer tomography (CT). Methods: One hundred thirty subjects with COVID-19 pneumonia who...

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Detalles Bibliográficos
Autores principales: Carvalho, Alysson Roncally S., Guimarães, Alan, Werberich, Gabriel Madeira, de Castro, Stephane Nery, Pinto, Joana Sofia F., Schmitt, Willian Rebouças, França, Manuela, Bozza, Fernando Augusto, Guimarães, Bruno Leonardo da Silva, Zin, Walter Araujo, Rodrigues, Rosana Souza
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2020
Materias:
Medicine
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7746855/
https://www.ncbi.nlm.nih.gov/pubmed/33344471
http://dx.doi.org/10.3389/fmed.2020.577609

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7746855/
https://www.ncbi.nlm.nih.gov/pubmed/33344471
http://dx.doi.org/10.3389/fmed.2020.577609

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