A token-mixer architecture for CAD-RADS classification of coronary stenosis on multiplanar reconstruction CT images
Comput Biol Med
4
April
Apr
2023
2 months ago
In patients with suspected Coronary Artery Disease (CAD), the severity of stenosis needs to be assessed for precise clinical management. An automatic deep learning-based algorithm to classify coronary stenosis lesions according to the Coronary Artery Disease Reporting and Data System (CAD-RADS) in multiplanar reconstruction images acquired with Coronary Computed Tomography Angiography (CCTA) is proposed.
Reference: A token-mixer architecture for CAD-RADS classification of coronary stenosis on multiplanar reconstruction CT images