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Automatic pulmonary vessel segmentation on noncontrast chest CT: deep learning algorithm developed using spatiotemporally matched virtual noncontrast images and low-keV contrast-enhanced vessel maps

Crossref DOI link: https://doi.org/10.1007/s00330-021-08036-z

Published Online: 2021-05-19

Published Print: 2021-12

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

Authors

Nam, Ju Gang

Witanto, Joseph Nathanael

Park, Sang Joon

Yoo, Seung Jin

Goo, Jin Mo

Yoon, Soon Ho https://orcid.org/0000-0002-3700-0165
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Text and Data Mining valid from 2021-05-19

Version of Record valid from 2021-05-19
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Article History

Received: 17 November 2020

Revised: 3 March 2021

Accepted: 3 May 2021

First Online: 19 May 2021

Declarations

:

: The scientific guarantor of this publication is Soon Ho Yoon.

: The authors of this manuscript, S.H.Y., S.J.P., and J.W., declare relationships with the following companies: MEDICALIP, Co. Ltd. Other authors have no relationships with any companies, whose products or services may be related to the subject matter of the article

: No complex statistical methods were necessary for this paper.

: Written informed consent was waived by the Institutional Review Board.

: Institutional Review Board approval was obtained.

: • retrospective• observational• performed at one institution

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