A token-mixer architecture for CAD-RADS classification of coronary stenosis on multiplanar reconstruction CT images

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. Penso M, Moccia S, Caiani EG, Caredda G, Lampus ML, Carerj ML, Babbaro M, Pepi M, Chiesa M, Pontone G. Comput Biol Med. 2022 Dec 26;153:106484.

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