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 . . .
  

   

  

  If you want to have access to all the content you need to log in!

  Thanks :)

  Username or E-mail:

  If you don't have an account, you can create one here.