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

Deep learning-based pneumoconiosis grading method and device, medium and equipment

A deep learning and grading method technology, applied in neural learning methods, image analysis, image data processing and other directions, can solve problems such as low detection efficiency and difficulty in ensuring the accuracy of detection results.

Pending Publication Date: 2021-05-18
TAIKANG LIFE INSURANCE CO LTD
View PDF4 Cites 4 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] However, due to the diversity and complexity of chest X-ray shadows of different pneumoconiosis, manual comparison is not only low in detection efficiency, but also difficult to guarantee the accuracy of detection results

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
  • Deep learning-based pneumoconiosis grading method and device, medium and equipment
  • Deep learning-based pneumoconiosis grading method and device, medium and equipment
  • Deep learning-based pneumoconiosis grading method and device, medium and equipment

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0036] Example embodiments will now be described more fully with reference to the accompanying drawings. Example embodiments may, however, be embodied in many forms and should not be construed as limited to the examples set forth herein; rather, these embodiments are provided so that this disclosure will be thorough and complete and will fully convey the concept of example embodiments to those skilled in the art.

[0037] Furthermore, the described features, structures, or characteristics may be combined in any suitable manner in one or more embodiments. In the following description, numerous specific details are provided in order to give a thorough understanding of embodiments of the present disclosure. However, those skilled in the art will appreciate that the technical solutions of the present disclosure may be practiced without one or more of the specific details, or other methods, components, means, steps, etc. may be employed. In other instances, well-known methods, ap...

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 embodiment of the invention provides a deep learning-based pneumoconiosis grading method and device, a medium and equipment, and relates to the technical field of machine learning. The method comprises the steps: carrying out feature extraction on a lung image of a patient, and generating a corresponding first lung feature map, wherein the first lung feature map comprises an ROI; performing mask prediction segmentation on the ROI of the first lung feature map to obtain a second lung feature map; fusing the first lung feature map and the second lung feature map; and determining a pneumoconiosis grade corresponding to the lung image based on a fusion result. According to the technical scheme of the embodiment of the invention, the accuracy of pneumoconiosis grading can be improved, the labor cost is reduced, and subjective errors caused by manual detection are avoided.

Description

technical field [0001] The present disclosure relates to the field of display technology, in particular, to a pneumoconiosis grading method based on deep learning, a pneumoconiosis grading device based on deep learning, a computer readable medium, and an electronic device. Background technique [0002] Pneumoconiosis is a systemic disease mainly caused by diffuse fibrosis of lung tissue caused by long-term inhalation of productive dust. Pneumoconiosis is an occupational disease with a high incidence and serious harm. Therefore, how to make differential diagnosis on the chest radiographs of patients with pneumoconiosis has become the focus of attention. [0003] In one technical scheme, the pneumoconiosis chest X-ray calculation and analysis method based on the computer-aided detection system is used to detect round or irregular small shadows on the chest X-ray, and then manually compare the International Labor Organization pneumoconiosis standard X-rays to compare the chest ...

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
IPC IPC(8): G06T7/00G06T7/11G06N3/08G06N3/04
CPCG06T7/0012G06T7/11G06N3/08G06T2207/20104G06T2207/30061G06T2207/20221G06N3/045
Inventor 景万里刘兴旺殷东雷
Owner TAIKANG LIFE INSURANCE CO LTD
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