Advertisement

407 A Novel Machine Learning Technique For Detecting Cardiac Substructures In Computed Tomography

      Introduction: Computed Tomography (CT) is a widely used imaging modality for the detection of coronary artery disease. However, the accuracy of CT is dependent on operator skill, image quality and reader experience. This study aimed to assess the utility of a novel machine learning (ML) technique to detect cardiac substructures in CT.
      To read this article in full you will need to make a payment

      Purchase one-time access:

      Academic & Personal: 24 hour online accessCorporate R&D Professionals: 24 hour online access
      Full access to the journal is a member benefit for SCCT Members, Login via the SCCT website to access all journal content.

      Subscribe:

      Subscribe to Journal of Cardiovascular Computed Tomography
      Already a print subscriber? Claim online access
      Already an online subscriber? Sign in
      Institutional Access: Sign in to ScienceDirect