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Abstract| Volume 16, ISSUE 4, SUPPLEMENT , S4, July 2022

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

DOI:https://doi.org/10.1016/j.jcct.2022.06.012
407 A Novel Machine Learning Technique For Detecting Cardiac Substructures In Computed Tomography
Previous Article406 Comparing Different Segmentation Models For The Aorta Based On St. Francis Heart Study
Next Article408 Evaluation Of A Deep Learning Based Fully Automated Coronary Calcium Scoring Algorithm, CardIQ Suite Software
      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.
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      DOI: https://doi.org/10.1016/j.jcct.2022.06.012

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