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Femoral head necrosis staging analysis method and system based on artificial intelligence

A femoral head necrosis and artificial intelligence technology, applied in image analysis, neural learning methods, instruments, etc., can solve problems such as high skill requirements, poor repeatability of staging judgment of femoral head necrosis, and difficulty in identifying ARCO1-2 stages of femoral head necrosis. , to achieve the effect of reducing requirements and reducing reading time

Pending Publication Date: 2021-11-26
JILIN UNIV
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] 1. High requirements for clinicians' experience and image recognition skills;
[0006] 2. Difficulty in early diagnosis of femoral head necrosis and identification of ARCO1-2 stages;
[0007] 3. Clinicians have poor repeatability in judging the staging of femoral head necrosis

Method used

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  • Femoral head necrosis staging analysis method and system based on artificial intelligence
  • Femoral head necrosis staging analysis method and system based on artificial intelligence
  • Femoral head necrosis staging analysis method and system based on artificial intelligence

Examples

Experimental program
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Embodiment 1

[0059] figure 1 It is a schematic diagram of an artificial intelligence system for identifying and staging femoral head necrosis lesions, and the staging of femoral head necrosis is mainly based on ARCO staging 1-4.

[0060] A staging analysis method for femoral head necrosis based on artificial intelligence:

[0061] S1, acquiring a hip MRI image of a patient, and performing preprocessing on the acquired hip MRI image;

[0062] S2. Constructing a femoral head necrosis lesion recognition model, identifying and locating the femoral head necrosis region and side of the patient based on the femoral head necrosis lesion recognition model, and generating a visual class activation map for the lesion;

[0063] S3, constructing a femoral head necrosis lesion staging model, inputting the visualization class activation map into the femoral head necrosis lesion staging model, judging the femoral head necrosis staging of the MRI image, and obtaining a lesion staging judgment result;

[...

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PUM

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Abstract

The invention discloses a femoral head necrosis staging analysis method and system based on artificial intelligence, and the method achieves the binary classification analysis of femoral head ischemic necrosis through the positioning and recognition of a hip joint MRI image and the automatic segmentation of a hip joint bone model, and further carries out the classification analysis of the femoral head necrosis staging. The system comprises an image acquisition module, an image segmentation module, a positioning analysis module, a lesion staging module and a report generation module. The MRI image is fully utilized, lesion features are intelligently recognized, the femoral head necrosis detection rate and the staging accuracy are improved, and an efficient, rapid and accurate femoral head necrosis staging analysis system can be constructed.

Description

technical field [0001] The invention relates to the field of medical image classification, in particular to an artificial intelligence-based method and system for staging analysis of femoral head necrosis. Background technique [0002] Femoral head necrosis is a kind of ischemic osteonecrosis disease caused by multiple factors. The course of the disease develops rapidly, which can easily lead to femoral head collapse and high disability rate. It is a common refractory disease in orthopedics. About 20,000-30,000 new cases of osteonecrosis of the femoral head occur each year in the United States. In my country, the incidence of femoral head necrosis is increasing year by year due to the increase of trauma, alcohol consumption and hormone abuse. The first large-scale epidemiological survey of non-traumatic osteonecrosis in China shows that the cumulative number of patients with non-traumatic osteonecrosis has reached 8.12 million, and the prevalence rate of men (1.02%) is sign...

Claims

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Application Information

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IPC IPC(8): G06T7/00G06T7/11G06K9/46G06K9/62G06N3/04G06N3/08
CPCG06T7/0012G06T7/11G06N3/08G06T2207/10088G06T2207/20081G06T2207/30008G06N3/045G06F18/241
Inventor 秦彦国沈先月唐雄风肖建林郭德明陈博何猛
Owner JILIN UNIV
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