APPLICATION OF CARDIOPATHIE PREDICTION

Using a coronary artery calcium score is one of the most used ways to diagnose coronary artery disease. However, because the radiologist must personally review each CT picture and the precise range, the present diagnosis procedure employing the coronary artery calcium score takes a lot of time. Three CNN models are used in this work to describe the 1200 normal cardiovascular system. We carry out the experimental test by dividing the CT image data into three categories: the original coronary artery calcium score CT images, which include the entire rib cage; the cardiac segmented images, which exclude all but the heart region; and the cardiac cropped images, which are produced using the cardiac images that have been divided into smaller parts and enlarged. As a result of the experimental test to identify calcium utilizing Inception Resnet V2, VGG, and Resnet 50 models in a certain CT picture.