New coronal pneumonia frosted glass lesion radiography analysis method and system and storage medium

An analytical method and glass technology, applied in the field of imaging medicine, can solve the problem of low detection accuracy of new coronary pneumonia, and achieve the effects of short prediction time, long training period and short training period

Active Publication Date: 2020-09-01
广州普世医学科技有限公司
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Problems solved by technology

[0005] The purpose of the present invention is to overcome the problem of low detection accuracy of traditional radiomics methods for novel coronavirus pneumonia in the prior art, and to provide a new coronary pneumonia ground-glass imaging analysis method, system and storage medium

Method used

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  • New coronal pneumonia frosted glass lesion radiography analysis method and system and storage medium
  • New coronal pneumonia frosted glass lesion radiography analysis method and system and storage medium
  • New coronal pneumonia frosted glass lesion radiography analysis method and system and storage medium

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Embodiment

[0080] The purpose that the present invention passes is achieved through the following technical solutions:

[0081] A new coronary pneumonia ground-glass imaging analysis method, such as figure 1 As shown, S1. Ground-glass opacity delineation based on radiomics; S2. Prediction of the probability of new coronary pneumonia based on deep learning.

[0082] Such as figure 2 As shown, the specific process of S1 is as follows:

[0083] S11. Restore the CT image with the DICOM file to obtain the real CT value, and select the CT value of the lung field target area;

[0084] S12. Generate a lung contour mask;

[0085] S13. Repairing the generated lung contour mask;

[0086] S14. Perform logical AND operation on the CT value of the target area in S11 and the mask corresponding to S12 to obtain a double lung field picture;

[0087] S15. Segment ground-glass shadow;

[0088] S16. Remove false positives.

[0089] Such as image 3 As shown, the specific process of S3 is as follows...

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Abstract

The invention relates to the field of imaging medicine, in particular to a new coronal pneumonia frosted glass focus radiography analysis method and system and a storage medium, and the method comprises the following steps: S1, carrying out frosted glass shadow sketching based on imaging omics; S2, predicting the new coronal pneumonia probability based on deep learning; S21, preprocessing the frosted glass shadow obtained in the step S1, and improving the convergence rate and prediction speed of the convolutional neural network; S22, building a neural network based on the WRN and the mixed domain attention module; and S23, stacking the frosted glass shadow pictures preprocessed in the step S21 as input, and putting the frosted glass shadow pictures into the neural network in the step S22 to obtain the probability of suffering from the new coronal pneumonia. According to the method, a small convolutional neural network uses an attention module of a mixed domain, the training speed can be increased, and the prediction accuracy can be improved.

Description

technical field [0001] The present invention relates to the field of imaging medicine, in particular to a method, system and storage medium for angiographic analysis of ground-glass lesions of COVID-19. [0002] technical background [0003] Novel coronavirus 2019-nCoV can cause human disease and can be transmitted between humans and animals. Symptoms of novel coronavirus 2019-nCoV infection include fever, wheezing and pneumonia. [0004] Radiomics plays an important role in the diagnosis of 2019-nCoV. Traditional radiomics methods: use K-means, SVM, Multi-OSTU and other algorithms to segment the ground-glass lesion area, and then analyze the texture, The shape, size, distribution and other characteristics are analyzed by decision tree to obtain the probability of developing new coronary pneumonia. The segmentation of ground-glass lesions using traditional methods is prone to interference from blood vessels. When using features such as texture, shape, size, and distribution...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/00G06K9/34G06K9/40G06K9/62G16H30/00A61B5/00A61B5/08
CPCG06T7/0012G16H30/00A61B5/0033A61B5/08G06T2207/30061G06V10/30G06V10/267G06F18/2415
Inventor 严朝煜陈海欣李伟忠
Owner 广州普世医学科技有限公司
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