Vertebral body information automatic recognition method and system based on medical images, terminal and storage medium

Abstract

The invention provides a spine centrum information automatic recognition method and system based on a medical image, a terminal and a storage medium. The method comprises the steps that a spine part radiation plain film is acquired and preprocessed; determining standard annotation data according to annotation results of specialists on the spinal radiation plain films; inputting the standard annotation data into a preset deep learning network model for training to obtain a vertebral body segment recognition model; inputting the standard annotation data into a preset deep learning network modelfor training to obtain a vertebral body segment classification inference joint model; training the vertebral body segment recognition model and the vertebral body segment classification and inferencecombined model by adopting cross validation to obtain a cross training vertebral body segment classification and inference combined model; inputting the preprocessed to-be-labeled data into a vertebral body segment recognition model, carrying out cross training on a vertebral body segment classification inference joint model, and predicting to obtain a segment frame, a segment type and a positionnumber of a vertebral body; and prediction and recognition of the types and the position numbers of the vertebral body segments can be realized.

Description

technical field [0001] The present application relates to the field of medical imaging and computer-aided technology, in particular to a method, system, terminal and storage medium for automatic identification of vertebral body information based on medical imaging. Background technique [0002] With the rapid development of computer and medical technology, the application of deep learning in assisted radiology diagnosis is one of the research hotspots in the field of artificial intelligence. The automatic identification method using deep learning technology has been applied to prompt doctors to detect suspicious areas of lesions . Fracture is a high-incidence species. In daily clinical work, orthopedic surgeons often need to review a large number of radiological images. The process of vertebral identification and report writing is time-consuming, and the quality of diagnosis is affected by subjectivity and effort. The intelligent reporting system using artificial intelligen...

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Problems solved by technology

[0005] Aiming at the deficiencies of the prior art, this application provides a method, system, terminal and storage medium for automatic identification of vertebral body information based on medical images, which solves the problem that the type and position number of the vertebral body segment cannot be automatically identified and detected in the prior art The problem

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