MRI hip joint inflammation segmentation and classification automatic quantitative grading sequential method

The invention discloses an MRI hip joint inflammation segmentation and classification automatic quantitative grading sequential method, solves the problem that hip joint inflammation areas are difficult to quantify and grade due to uneven distribution of shapes, sizes and voxel values of hip joints, and realizes automatic accurate quantification and grading evaluation of the hip joint inflammationareas. According to the method, the hip joint inflammation area label value is modified in an inverse exponential proportion according to the voxel value, so that the problem of poor segmentation result caused by large voxel value difference of the hip joint inflammation area is solved; according to the method, a multi-scale convolution module GMS is designed to improve the segmentation effect ofhip joint inflammation regions with large shape and size differences; aiming at the problem that hip joint inflammation regions with small proportions are difficult to classify, a segmentation modeland a classification model