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

Image segmentation method, device, model training method and electronic equipment

An image segmentation and electronic device technology, applied in the field of data processing, can solve the problems of poor segmentation effect, low efficiency, and increase the difficulty of doctor reading, and achieve the effect of excellent segmentation effect.

Active Publication Date: 2022-05-10
HUIYING MEDICAL TECH (BEIJING) CO LTD
View PDF12 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Multiple consecutive slice image sequences increase the difficulty and inefficiency of the doctor's reading
[0003] At present, there are some neural network models for image segmentation, but due to the low contrast of medical images, there is a problem of poor segmentation effect when segmenting medical images.

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
  • Image segmentation method, device, model training method and electronic equipment
  • Image segmentation method, device, model training method and electronic equipment
  • Image segmentation method, device, model training method and electronic equipment

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0048] In order to make the purposes, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments It is a part of the embodiments of this application, not all of them. The components of the embodiments of the application generally described and illustrated in the figures herein may be arranged and designed in a variety of different configurations.

[0049]Accordingly, the following detailed description of the embodiments of the application provided in the accompanying drawings is not intended to limit the scope of the claimed application, but merely represents selected embodiments of the application. Based on the embodiments in this application, all other embodiments obtained by persons of ordinary skill in the art wi...

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 application provides an image segmentation method, device, model training method and electronic equipment. In this image segmentation method, since the edge feature fusion layer fuses multiple down-sampled information, it can not only fuse the shallow semantic information and deep semantic information in medical images, but also extract the edge information of the lesion area in medical images. When the upsampling layer performs an upsampling operation, it can achieve a better segmentation effect on medical images based on the edge information of the lesion area.

Description

technical field [0001] The present application relates to the field of data processing, in particular, to an image segmentation method, device, model training method and electronic equipment. Background technique [0002] With the advancement of medical technology, medical imaging is an important basis for doctors to diagnose diseases. Since most medical images are slice images, in order to display the whole organ, multiple continuous slice image sequences are required. Multiple consecutive image sequences of slices increase the difficulty for doctors to read the images, and thus inefficiency. [0003] At present, there are some neural network models for image segmentation, but due to the low contrast of medical images, there is a problem of poor segmentation effect when segmenting medical images. Contents of the invention [0004] In order to overcome at least one deficiency in the prior art, one of the purposes of the embodiments of the present application is to provid...

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): G16H30/40G06K9/62G06V10/80G06V10/774G06V10/764G06V10/26G06V10/44
CPCG16H30/40G06V10/267G06V10/44G06V2201/03G06F18/24G06F18/253G06F18/214
Inventor 柴象飞郭娜刘鹏飞刘剑英左盼莉李绍林李葳
Owner HUIYING MEDICAL TECH (BEIJING) CO LTD