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...

Descripción completa

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

Internet

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

Ejemplares similares