Acetabulum radius automatic measurement method and system based on artificial intelligence

The invention discloses an automatic acetabular radius measurement method and system based on artificial intelligence, relates to the technical field of acetabular radius measurement, and aims to solve the problem that the acetabular radius of a human body cannot be accurately and automatically measured in the prior art. According to the technical key points, the method comprises the following steps: acquiring medical image data of a patient through CT, marking the medical image data, preprocessing a plurality of marked CT images, and segmenting a hip joint structure based on a trained segmentation model based on a 2D Unet neural network, and the feature points on the acetabulum are identified through a pre-trained identification model based on a 3D Unet neural network, so that the radius of the acetabular fossa is calculated, and the measurement of the acetabular radius is completed. The method can be used for surgical planning before the orthopedic surgery, so that the subsequent surgical process is more ac