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

Liver space-occupying lesion identification method, device and implementation device

An identification method and technology for venereal diseases, which are applied in the field of medical imaging, can solve the problems of inability to consider the horizontal characteristics of four-phase images and the longitudinal characteristics of single-phase images, and the accuracy of identification results is not high, and achieves the effect of high accuracy.

Active Publication Date: 2021-08-10
BEIJING PEREDOC TECH CO LTD
View PDF9 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] At present, liver space-occupying lesions are mainly identified manually from CT images, and automatic computer identification is mostly based on single-phase images of CT images, which cannot consider the horizontal characteristics between the four-phase images and the longitudinal characteristics of a single-phase image. The accuracy of the recognition result is not high

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
  • Liver space-occupying lesion identification method, device and implementation device
  • Liver space-occupying lesion identification method, device and implementation device
  • Liver space-occupying lesion identification method, device and implementation device

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0044]In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions of the present invention will be clearly and completely described below in conjunction with the accompanying drawings. Obviously, the described embodiments are part of the embodiments of the present invention, not all of them. the embodiment. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0045] At present, liver space-occupying lesions are mainly identified manually from CT images, and automatic computer identification is mostly based on single-phase images of CT images, which cannot consider the horizontal features between the four-phase images and the longitudinal features of a single-phase image. The accuracy of the recognition result is not high.

[0046] Based o...

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 present invention provides a liver space-occupying lesion identification method, device and implementation device, which relate to the technical field of medical imaging, including acquiring the first CT image; The position of the suspected lesion in the first CT image of the first stage; the position of the suspected lesion is merged horizontally and vertically to obtain the position of the detection frame, and the first CT image of each stage is cut vertically according to the position of the detection frame to obtain the second CT image; through the second recognition model Identify the type of lesion in the suspected lesion position in the second CT image, and judge the target lesion position from the suspected lesion position; segment the first CT image by the third recognition model to obtain the third CT image, according to the third CT image The position coordinates of the target lesion are obtained from the detection frame retained on the image, and the horizontal characteristics of the four-phase images and the vertical characteristics of the single-phase images are fully considered, which greatly improves the accuracy of the recognition results.

Description

technical field [0001] The invention relates to the technical field of medical imaging, in particular to a method, device and implementation device for identifying liver space-occupying lesions. Background technique [0002] Space-occupying lesion is a special term in medical imaging diagnostics. It usually appears in X-ray, B-ultrasound, CT and other examination results. , arterial phase, portal venous phase and delayed phase four-phase images. [0003] At present, liver space-occupying lesions are mainly identified manually from CT images, and automatic computer identification is mostly based on single-phase images of CT images, which cannot consider the horizontal characteristics between the four-phase images and the longitudinal characteristics of a single-phase image. The accuracy of the recognition result is not high. Contents of the invention [0004] In view of this, the purpose of the present invention is to provide a liver space-occupying lesion identification ...

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 Patents(China)
IPC IPC(8): G06T7/00G06T7/11G06T7/187
CPCG06T7/0012G06T2207/10081G06T2207/20081G06T2207/20084G06T2207/30056G06T7/11G06T7/187
Inventor 许志方王方
Owner BEIJING PEREDOC TECH 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