Deep learning-based rib fracture auxiliary detection method and image recognition method

Abstract

The invention relates to the technical field of medical treatment, in particular to a deep learning-based rib fracture auxiliary detection method and an image recognition method, and the method comprises the steps: selecting a certain number of chest CT images as a training set, and marking rib fracture regions and rib numbers in images; performing data normalization on the images; performing model training by taking the processed image as input and the marked rib fracture area and rib number in the image as output, wherein the training model comprises a rib detection model, a rib fracture segmentation model and a rib number and segmentation model; and processing a chest CT image to be detected, inputting the processed chest CT image to the trained rib fracture detection model, and outputting a detection result. According to the rib fracture auxiliary detection method based on the deep learning algorithm provided by the embodiment of the invention, false positive and false negative of rib fracture detection are effectively reduced, and the detection result provides position information of suspected rib fracture, so that a doctor can be assisted in diagnosis.

Description

technical field [0001] The present invention relates to the field of medical technology, in particular to an auxiliary rib fracture detection method and image recognition method based on deep learning. Background technique [0002] Computed tomography (CT) is the main method used to diagnose rib fractures of the chest. CT chest examination for rib fractures is a time-consuming and labor-intensive process. Because of the unique anatomical shape of the ribs, each rib needs to be repeatedly observed on multiple CT cross-sectional planes from the back up to the front down. Evaluation is time-consuming and labor-intensive, which brings difficulties to diagnosis. [0003] The existing intelligent auxiliary rib fracture detection system, combined with the traditional detection model, can obtain suspected lesion areas to assist doctors in diagnosis. With the development of deep learning, many computer vision tasks have developed rapidly due to the rise of deep learning. Data-drive...

AI Technical Summary

Problems solved by technology

[0005] In view of the above technical problems, the embodiment of the present invention provides a rib fracture auxiliary detection method and an image recognition method based on a deep learning algorithm to solve the problem of inability to locate and analyze the lesion area when the traditional deep learning model is used for the auxiliary detection of rib fractures in CT , to detect one or more problems that are inaccurate

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