The invention provides an evaluation method and 
system for images after hip replacement based on 
deep learning, relates to the technical field of 
medicine, and can accurately evaluate the postoperative condition of a patient subjected to 
total hip replacement surgery, and the method comprises the following steps: obtaining a hip joint image of the patient subjected to the hip replacement 
surgery; recognizing key point positions and target areas in the hip joint 
image based on a 
deep learning target recognition network; according to the key point position and the target area, the 
leg length difference, the eccentric distance and the 
femoral prosthesis index of the patient are determined; according to the 
leg length difference of the two legs, the eccentric distance and the 
femoral prosthesis index, the accuracy of 
femoral prosthesis position installation of the patient is evaluated. The 
system executes the method. According to the method, based on the hip joint image of the patient after the 
hip joint replacement operation, the 
leg length difference, the eccentric distance and the femoral 
prosthesis index of the patient after the 
hip joint replacement operation are calculated, so that the 
recovery condition of the patient after the 
hip joint replacement operation is accurately evaluated.