CT rib fracture auxiliary diagnosis system based on deep learning algorithm

Abstract

The invention relates to the technical field of medical treatment, in particular to a CT rib fracture auxiliary diagnosis system based on a deep learning algorithm, and the system comprises a data processing module which is used for carrying out data normalization of a to-be-detected chest CT image, and obtaining a normalized chest CT image; and a detection module which is used for inputting the normalized chest CT image into the detection module to obtain a detection result of the chest CT image; wherein the detection module comprises a rib detection unit, a rib fracture segmentation unit, arib numbering and segmenting unit and a display module, and the display module is used for displaying an output result of the chest CT image. According to the CT rib fracture auxiliary diagnosis system based on the deep learning algorithm, false positive and false negative of rib fracture detection are effectively reduced, the detection result provides position information of suspected rib fracture, and a doctor can be assisted in diagnosis.

Description

technical field [0001] The invention relates to the field of medical technology, in particular to a CT rib fracture auxiliary diagnosis system based on a deep learning algorithm. 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 aided rib fracture diagnosis system, combined with traditional detection models, 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-driven deep learning models have ac...

AI Technical Summary

Problems solved by technology

[0005] In view of the above technical problems, the embodiment of the present invention provides a CT rib fracture auxiliary diagnosis system based on a deep learning algorithm to solve the problem that when the traditional deep learning model is used for the auxiliary diagnosis of CT rib fracture, the lesion area cannot be located and analyzed, and the detection is not correct. exact one or more questions

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