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.