Abstract: Combining the 3D spatial features of cardiac CT images, a model of coarctation of aorta (CoA) based on 3D convolutional neural network (C3D) is proposed (3DCoA). Compared with traditional CoA assisted diagnosis methods, 3DCoA model not only improves the reliability of diagnosis results, but also directly faces image operation without complicated data preprocessing process. The experimental results show that compared with the existing methods, the performance of 3DCoA model in diagnosis accuracy, precision and recall has been significantly improved.

Key words: coarctation of aorta, three-dimensional convolutional neural network, 3D spatial features, cardiac CT image