Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Method for calculating proportion of new coronal pneumonia lesion area based on deep learning

A technology of deep learning and lesion area, applied in the field of lung measurement, can solve the problems of large error, lack of measurement standards and low efficiency in quantitative analysis, and achieve the effect of improving efficiency and accuracy

Pending Publication Date: 2020-10-02
ZHEJIANG UNIV
View PDF2 Cites 6 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] The purpose of the present invention is to provide a method for calculating the proportion of new coronary pneumonia lesion areas based on deep learning in order to solve the above-mentioned problems of lack of measurement standards, large errors, and low efficiency in the quantitative analysis of pneumonia lesion areas. Accurately calculate the volume ratio between pneumonia and the entire lung area, which is conducive to the quantitative analysis of disease changes

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Method for calculating proportion of new coronal pneumonia lesion area based on deep learning
  • Method for calculating proportion of new coronal pneumonia lesion area based on deep learning
  • Method for calculating proportion of new coronal pneumonia lesion area based on deep learning

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0028] In order to make the technical means, creative features, goals and effects achieved by the present invention easy to understand, the present invention will be further described below in conjunction with specific embodiments.

[0029] Such as figure 1 As shown, a method for calculating the proportion of new coronary pneumonia lesion area based on deep learning includes the following steps:

[0030] Raw CT image sets were normalized for data input to deep learning models. Input the CT image data in the training set into the two network learning models of 2DUnet and 2.5DUnet respectively, and predict the binary mask of the lung lesion area and the binary mask of the entire lung area. The prediction methods of the two network learning models It is: ① 2DUnet input is a single image, and the output is a binary mask of the same size as the input; ② In order to reduce the training scale and use the three-dimensional features of CT images, 2.5DUnet is hereby used, and the 2.5DU...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention discloses a method for calculating the proportion of a new coronal pneumonia lesion area based on deep learning, which belongs to the technical field of lung measurement, and comprises the following steps: carrying out normalization processing on an original CT image set to adapt to data input of a deep learning model; respectively inputting CT image data in the training set into twonetwork learning models of 2 DUnet and 2.5 DUnet, and predicting a binary mask of a lung lesion area and a binary mask of a whole lung area; calculating the similarity between a binary mask predictedby the training set and a real label mask, and selecting an optimal network learning model; and by using the optimal network learning model, predicting lung lesion area masks and lung whole area masks for the CT images in the training set, and calculating the proportion between the lesion area masks and the whole area masks. According to the method, the lung lesion area and the effective mask ofthe whole lung are automatically segmented by utilizing a deep learning technology, so that the volume ratio of the lesion area is rapidly and accurately calculated.

Description

technical field [0001] The present invention relates to the technical field of lung measurement, in particular to a method for calculating the proportion of lesion areas of new coronary pneumonia based on deep learning. Background technique [0002] During the treatment of new coronary pneumonia, CT images play an important role in the diagnosis of new coronary pneumonia. Patients take CT images regularly to observe the development and changes of the disease. At present, there is no unified method for the quantitative analysis of the patient's lesion area. The measurement standard cannot quantitatively analyze the patient's disease trend, and manual observation of changes in the lesion area is prone to errors, which not only wastes a lot of manpower, but also reduces the efficiency of quantitative analysis. Contents of the invention [0003] The purpose of the present invention is to provide a method for calculating the proportion of new coronary pneumonia lesion areas bas...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/00G06T7/136G06T7/187G06T7/62
CPCG06T7/0012G06T7/136G06T7/187G06T7/62G06T2207/10081G06T2207/20081G06T2207/20084G06T2207/30061
Inventor 梁廷波盛吉芳吴炜
Owner ZHEJIANG UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com