Abstract: A computer-implemented method for determining the presence of a coronary lesion for a patient, including a first step of receiving at least one curvilinear or stretched multiplanar medical CT image of a coronary artery of the patient. The method further includes a step of determining a CAD-RADS (Coronary Artery Disease—Reporting and Data System value) classification value of a coronary lesion on the image or on a part of the image by using a first trained deep neural network applied directly to the detected images or parts of images.
Abstract: A computer-implemented method for determining the presence of a coronary stenosis for a patient, including a step of receiving at least one curvilinear or stretched multiplanar medical CT (X-scanner) image of the patient including the coronary stenosis as well as a step of detecting the coronary stenosis on the image or on a part of the image by using a first deep neural network.
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