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Abstract: Automatic CAD-RADS Scoring using Deep Learning
[chapter]
2021
Informatik aktuell
Coronary CT angiography (CCTA) has established its role as a noninvasive modality for the diagnosis of coronary artery disease (CAD). The CAD-Reporting and Data System (CAD-RADS) has been developed to standardize communication and aid in decision making based on CCTA findings. The CAD-RADS score is determined by manual assessment of all coronary vessels and the grading of lesions within the coronary artery tree. We propose a bottom-up approach for fully-automated prediction of this score using
doi:10.1007/978-3-658-33198-6_24
fatcat:vq2fhbxuh5cmddr4ssxt62wy3u