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Development and validation of a 3D-convolutional neural network model based on chest CT for differentiating active pulmonary tuberculosis from community-acquired pneumonia

Crossref DOI link: https://doi.org/10.1007/s11547-022-01580-8

Published Online: 2022-12-27

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

Authors

Han, Dong

Chen, Yibing

Li, Xuechao

Li, Wen

Zhang, Xirong

He, Taiping

Yu, Yong

Dou, Yuequn

Duan, Haifeng

Yu, Nan https://orcid.org/0000-0003-4319-8873
Funding

Funding for this research was provided by:

Key industrial innovation chain project of Shaanxi Provincial Department of science and technology (2021ZDLSF04-10)

Subject Innovation Team of Shaanxi University of Chinese Medicine (2019-QN09, 2019-YS04)
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Text and Data Mining valid from 2022-12-27

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Article History

Received: 21 July 2022

Accepted: 13 December 2022

First Online: 27 December 2022

Declarations

:

: All authors of this manuscript declared that there was no conflict of interest.

: This retrospective study was approved by the Affiliated Hospital of Shaanxi University of Chinese Medicine Institutional Ethics Committee (the approval document no.: SZFYIEC-PF-2020 no. [74]), and the consents from patients were waived.

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