Vertebra slippage grading method and device based on image recognition, equipment and medium

The invention provides a vertebra slippage grading method and device based on image recognition, equipment and a medium, and relates to the technical field of medical image recognition, and the method comprises the steps: building an initial model, generating training data, training the initial model, and obtaining a target model, the target model comprises a hierarchical feature extraction network, a region suggestion network and a multi-task detection network; obtaining a to-be-processed image, and preprocessing the to-be-processed image to obtain an initial image; and inputting the initial image into the target model, performing feature extraction by adopting a hierarchical feature extraction network, determining a vertebra region by adopting a region suggestion network, and performing vertebra positioning and slippage grading based on the vertebra region by adopting a multi-task detection network so as to obtain a target result. And the efficiency is low. 本发明提供了基于图像识别的椎骨滑脱分级方法、装置、设备及介质，涉及医学图像识别技术领域，包括：建立初