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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Veröffentlicht in:Front Med (Lausanne)
Hauptverfasser: 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
Format: Artigo
Sprache:Inglês
Veröffentlicht: Frontiers Media S.A. 2020
Schlagworte:
Medicine
Online Zugang:https://ncbi.nlm.nih.gov/pmc/articles/PMC7746855/
https://ncbi.nlm.nih.gov/pubmed/33344471
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/fmed.2020.577609
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