Learning coronary artery calcium scoring in coronary cta from non-contrast ct using unsupervised domain adaptation

HIGHLIGHTS

  • who: Zhiwei Zhai from the University Hospital of Basel, Switzerland have published the research: Learning coronary artery calcium scoring in coronary CTA from non-contrast CT using unsupervised domain adaptation, in the Journal: (JOURNAL)
  • what: To address this, in this study, the authors investigate the feasibility of adapting a CAC scoring network trained on a large set of labeled NCCT scans to unlabeled CCTA scans using unsupervised domain adaptation. For this, the authors investigate a cross-domain approach described by Dou et_al to enable CAC scoring in CCTA without annotations while utilizing NCCT with available . . .

     

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