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

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

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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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Bibliographic Details
Main Authors: Sadaf Khademi, Shahin Heidarian, Parnian Afshar, Nastaran Enshaei, Farnoosh Naderkhani, Moezedin Javad Rafiee, Anastasia Oikonomou, Akbar Shafiee, Faranak Babaki Fard, Konstantinos N Plataniotis, Arash Mohammadi
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2023-01-01
Series:PLoS ONE
Online Access:https://doi.org/10.1371/journal.pone.0282121

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https://doi.org/10.1371/journal.pone.0282121

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