Crossmark

Artificial intelligence for differentiating COVID-19 from other viral pneumonias on CT: comparative analysis of different models based on quantitative and radiomic approaches

Crossref DOI link: https://doi.org/10.1186/s41747-022-00317-6

Published Online: 2023-01-24

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Zorzi, Giulia

Berta, Luca

Rizzetto, Francesco https://orcid.org/0000-0003-3451-9874
De Mattia, Cristina

Felisi, Marco Maria Jacopo

Carrazza, Stefano

Nerini Molteni, Silvia

Vismara, Chiara

Scaglione, Francesco

Vanzulli, Angelo

Torresin, Alberto

Colombo, Paola Enrica
License Information

Text and Data Mining valid from 2023-01-24

Version of Record valid from 2023-01-24
More Information

Article History

Received: 6 September 2022

Accepted: 15 December 2022

First Online: 24 January 2023

Declarations

:

: The study was approved by the local ethics committee (Ethics Committee of Milan Area 3; decision number: 188-22042020), and the need for informed consent was waived owing to the retrospective design of the study.

: Not applicable

: The authors declare that they have no competing interests.

Document is current

Any future updates will be listed below