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.

Bibliographic Details
Published in:European Radiology Vol. 31; no. 12; pp. 9012 - 9022
Main Authors: Nam, Ju Gang, Witanto, Joseph Nathanael, Park, Sang Joon, Yoo, Seung Jin, Goo, Jin Mo, Yoon, Soon Ho
Format: Journal Article
Published: Springer Nature Dec2021
Online Access:View this record in EBSCOhost
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      dt: Dec2021
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      pub: Springer Nature
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        atl: 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.
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          Nam, Ju Gang
          Witanto, Joseph Nathanael
          Park, Sang Joon
          Yoo, Seung Jin
          Goo, Jin Mo
          Yoon, Soon Ho
        affil: Department of Radiology, Seoul National University Hospital, 101 Daehak-ro, Jongno-gu, 03080, Seoul, Republic of Korea
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      pubtype: Academic Journal
      doctype: Journal Article
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    language: English
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