Robust framework for COVID-19 identication from a multicenter dataset of chest CT scans

The main objective of this study is to develop a robust deep learning-based framework to distinguish COVID-19, Community-Acquired Pneumonia (CAP), and Normal cases based on volumetric chest CT scans, which are acquired in different imaging centers using different scanners and technical settings. We...

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Detalles Bibliográficos
Autores principales: Khademi, Sadaf, Heidarian, Shahin, Afshar, Parnian, Enshaei, Nastaran, Naderkhani, Farnoosh, Rafiee, Moezedin Javad, Oikonomou, Anastasia, Shafiee, Akbar, Babaki Fard, Faranak, plataniotis, Konstantinos N., Mohammadi, Arash
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2023
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9980818/
https://www.ncbi.nlm.nih.gov/pubmed/36862633
http://dx.doi.org/10.1371/journal.pone.0282121

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