The present application relates to
lumbar abnormal image recognition method and
system, wherein the
lumbar abnormal image recognition method comprises the following steps: acquiring the
lumbar region
MRI image, positioning the left and right apices of the
intervertebral disc and the posterior apices of the
spinal canal as key points; determining the
region of interest in the lumbar image according to the positioned key points, and obtaining the shape image of the lumbar
spinal canal through pretreatment; inputting the obtained lumbar
spinal canal shape image into the trained classification
network model, and judging whether the image contains the abnormal shape of lumbar
spinal canal stenosis. By positioning the key points, the region of the lumbar spinal canal is roughly determined, and the most interesting lumbar center region in
machine learning is sent into the classification network. Compared with the existing technology of sending the whole
MRI image into the classification neural network, the irrelevant information in the network input can be reduced, the features related to the
spinal canal stenosis can be more focused on, the abnormal shape image of the lumbar
spinal canal stenosis existing in the image data can be accurately recognized, and the recognition accuracy is improved.