CAD-RADS Scoring using Deep Learning and Task-Specific Centerline Labeling. (arXiv:2202.03671v1 [eess.IV])

With coronary artery disease (CAD) persisting to be one of the leading causes
of death worldwide, interest in supporting physicians with algorithms to speed
up and improve diagnosis is high. In clinical practice, the severeness of CAD
is often assessed with a coronary CT angiography (CCTA) scan and manually
graded with the CAD-Reporting and Data System (CAD-RADS) score. The clinical
questions this score assesses are whether patients have CAD or not (rule-out)
and whether they have severe CAD or not …

arxiv cad deep learning labeling learning scoring