The invention relates to the technical field of
medical care information, in particular to an orthopaedic spine post-operation imaging auxiliary
evaluation system, which comprises a region acquisition module, a region correction module, a
callus growth coefficient acquisition module and a network training module, the method comprises the following steps: acquiring an initial
vertebra fusion region in a spinal image of a historical patient after a
spinal fusion operation, and correcting the initial
vertebra fusion region to obtain a real
vertebra fusion region; determining a plurality of first intervertebral gradient regions and second intervertebral gradient regions in the real vertebra fusion region, and determining a
callus growth coefficient of the real vertebra fusion region according to position distribution and pixel gray levels of the first intervertebral gradient regions and the second intervertebral gradient regions; and forming a
training set by utilizing the
callus growth coefficients of all historical patients and the postoperative risk grades calibrated in the initial vertebra fusion region, and training the postoperative
risk classification network. According to the invention, the classification accuracy of the postoperative
risk classification network is effectively improved.