Abdominal CT image target organ registration method based on deep learning

The invention discloses an abdominal CT image target organ registration method based on deep learning. Firstly, constructing an abdomen CT image database; secondly, constructing a network model basedon deep learning, and introducing a coordinate convolution layer into a convolutional neural network module of the network model so as to enhance the learning ability of the network model for target position information; then, considering that the data volume of the abdominal CT image containing the target organ bounding box is small, based on the transfer learning technology, inputting the data into a natural scene database to pre-train a network model, and then inputting the data into an abdominal CT image database to perform parameter fine adjustment on the model so as to realize abdominaltarget organ detection; and finally, constructing an abdominal target organ CT image pair, constructing a similarity measurement function according to gradient and gray level distribution characteristics between pixel points o