A METHOD FOR CORRECTING A MOTION IN A CORONARY IMAGE USING A CONVOLUTIONAL NEURAL NETWORK

摘要

Disclosed is a method for correcting a motion in a coronary image by using a line neural network to improve accuracy in a three-dimensional coronary model. According to an embodiment of the present invention, the method for correcting a motion comprises the steps of: obtaining a target image of the coronary image; obtaining an input image of the coronary image; and correcting a motion of the input image by enabling the input image to learn a style of the target image with a line neural network technique and to reproduce the learned style.