Unlock instant, AI-driven research and patent intelligence for your innovation.

Multi-label intelligent detection method and device for lung CT image, equipment and medium

A CT image and intelligent detection technology, applied in the field of medical image processing and image processing, can solve the problem of time-consuming and laborious, and achieve the effect of reducing the misdiagnosis rate, improving the recognition ability, and improving the speed of image processing.

Active Publication Date: 2021-05-14
GENERAL HOSPITAL OF PLA +1
View PDF8 Cites 1 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0002] In the medical field, the traditional method of manually detecting lung CT images by relevant medical professionals is very time-consuming and laborious. The machine vision algorithm based on deep neural network that has emerged in recent years can effectively solve this problem.

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
  • Multi-label intelligent detection method and device for lung CT image, equipment and medium
  • Multi-label intelligent detection method and device for lung CT image, equipment and medium
  • Multi-label intelligent detection method and device for lung CT image, equipment and medium

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0045] The application will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain related inventions, rather than to limit the invention. It should also be noted that, for ease of description, only parts related to the invention are shown in the drawings.

[0046] It should be noted that, in the case of no conflict, the embodiments in the present application and the features in the embodiments can be combined with each other. The present application will be described in detail below with reference to the accompanying drawings and embodiments.

[0047] figure 1 It is a flowchart of a multi-label intelligent detection method for lung CT images proposed in this application. Such as figure 1 As shown, a multi-label intelligent detection method for lung CT images proposed in the embodiment of the present application includes:

[0048] Step...

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 multi-label intelligent detection method and device for a lung CT image, equipment and a medium, and the method comprises the steps of obtaining a target image which is input layer by layer, and the target image being a lung CT image; inputting the target image into a trained multi-class segmentation model to obtain a multi-class segmentation image and a single-class segmentation image, the multi-class segmentation image being used for indicating a type label to which at least a part of area in the target image belongs, the single-category segmented image being used for indicating a region of interest contained in the target image; and screening the multi-class segmented images by using the single-class segmented image to obtain the type label of the region of interest in the target image, so that the image processing speed is effectively improved under the condition of not losing features.

Description

technical field [0001] The present disclosure generally relates to the field of image processing, specifically to the field of medical image processing, and in particular to a multi-label intelligent detection method, device, electronic equipment and storage medium for lung CT images. Background technique [0002] In the medical field, the traditional method of manually detecting lung CT images by relevant medical professionals is very time-consuming and laborious. The machine vision algorithm based on deep neural network that has emerged in recent years can effectively solve this problem. Contents of the invention [0003] In view of the above defects or deficiencies in the prior art, it is desired to provide a multi-label intelligent detection method, device, electronic equipment and storage medium for lung CT images, which can effectively improve the image processing speed without losing features. [0004] In the first aspect, the present application proposes a multi-la...

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): G06T7/00G06K9/34G06N3/04
CPCG06T7/0012G06T2207/10081G06T2207/30061G06V10/267G06N3/045
Inventor 何昆仑邢宁聂永康管希周马林刘盼郭华源王文君钟琴郭桦丁俊谕李宗任刘博罕赵诚辉张培芳
Owner GENERAL HOSPITAL OF PLA