Abstract: A model of coarctation of aorta based on three-dimensional aided diagnosis model of aortic coarctation based on three-dimensional convolution neural network is proposed, which combines the three-dimensional spatial features of cardiac computed tomography images. Compared with the traditional auxiliary diagnosis method of aortic coarctation, the proposed method not only improves the reliability of diagnosis results, but also directly processes images operation without complicated data preprocessing process. The performance in terms of diagnosis accuracy, precision and recall has been significantly improved.

Key words: coarctation of aorta, three-dimensional convolutional neural network, three-dimensional spatial features, cardiac computed tomography image