COVIDiag: a clinical CAD system to diagnose COVID-19 pneumonia based on CT findings

OBJECTIVES: CT findings of COVID-19 look similar to other atypical and viral (non-COVID-19) pneumonia diseases. This study proposes a clinical computer-aided diagnosis (CAD) system using CT features to automatically discriminate COVID-19 from non-COVID-19 pneumonia patients. METHODS: Overall, 612 pa...

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Detalles Bibliográficos
Autores principales: Abbasian Ardakani, Ali, Acharya, U. Rajendra, Habibollahi, Sina, Mohammadi, Afshin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2020
Materias:
Computed Tomography
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7395802/
https://www.ncbi.nlm.nih.gov/pubmed/32740817
http://dx.doi.org/10.1007/s00330-020-07087-y

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7395802/
https://www.ncbi.nlm.nih.gov/pubmed/32740817
http://dx.doi.org/10.1007/s00330-020-07087-y

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