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Identification of Asymptomatic COVID-19 Patients on Chest CT Images Using Transformer-Based or Convolutional Neural Network–Based Deep Learning Models

Crossref DOI link: https://doi.org/10.1007/s10278-022-00754-0

Published Online: 2023-01-03

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

Authors

Yin, Minyue

Liang, Xiaolong

Wang, Zilan

Zhou, Yijia

He, Yu

Xue, Yuhan

Gao, Jingwen

Lin, Jiaxi

Yu, Chenyan

Liu, Lu

Liu, Xiaolin

Xu, Chao

Zhu, Jinzhou http://orcid.org/0000-0003-0544-9248
Funding

Funding for this research was provided by:

Youth Program of Suzhou Health Committee (KJXW2019001)

Student extracurricular research project of Soochow University Medical College (2021YXBKWKY050)
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Text and Data Mining valid from 2023-01-03

Version of Record valid from 2023-01-03
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Article History

Received: 19 October 2022

Revised: 30 November 2022

Accepted: 7 December 2022

First Online: 3 January 2023

Declarations

:

: The study was conducted in accordance with the Declaration of Helsinki and approved by the Institutional Review Board of the first Affiliated Hospital of Soochow University (protocol code 109 and date of approval: March 31, 2022).

: Informed consent was waived due to retrospective nature of this study. The asymptomatic COVID-19 patients and healthy individuals from Yangzhou Third People’s Hospital (center #1) from August 2020 to June 2021 and from the First Affiliated Hospital of Soochow University (center 2#) in 2020 waived the informed consent.

: The authors declare no competing interests.

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