Intestinal nerve plexus auxiliary identification method based on improved progressive residual network

A recognition method and progressive technology, applied in the field of image recognition, can solve problems such as insufficient data volume, achieve rapid recognition, improve recognition efficiency and accuracy

Active Publication Date: 2022-01-28
南京南数数据运筹科学研究院有限公司 +3
View PDF7 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] Purpose of the invention: In order to overcome the deficiencies in the prior art, the present invention provides an enteric plexus-assisted identification method based on an improved progressive residual network, which can fully mine the inherent information of pathological pictures, and through special Preprocessing to solve the potential problem of insufficient data

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
  • Intestinal nerve plexus auxiliary identification method based on improved progressive residual network
  • Intestinal nerve plexus auxiliary identification method based on improved progressive residual network
  • Intestinal nerve plexus auxiliary identification method based on improved progressive residual network

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0027] Below in conjunction with accompanying drawing, technical scheme of the present invention is described in further detail:

[0028] This invention may be embodied in many different forms and should not be construed as limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the invention to those skilled in the art.

[0029] Such as figure 1 As shown, it is a schematic diagram of the overall flow of the enteric plexus-assisted identification method based on the improved progressive residual network proposed by the present invention. The method specifically includes the following steps:

[0030] Step 1, collect data and perform preprocessing to obtain a training data set;

[0031] Wherein, the collected data is the image data of intestinal tissue slices stained with hematoxylin-eosin.

[0032] Furthermore, since the larger the amount of original data, th...

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 an intestinal nerve plexus auxiliary identification method based on an improved progressive residual network, which comprises the following steps of: 1, collecting data, and preprocessing the data to obtain a training data set; 2, constructing a restoration model based on an improved progressive residual restoration network, and training the restoration model based on the training data set and MSEloss; 3, inputting an original to-be-detected image into the trained restoration model to obtain a restoration result; 4, performing pixel-level difference comparison on the restoration result and the original to-be-detected image to obtain the positions of enteric nerve plexuses; and 5, classifying normal and abnormal nerve plexuses by adopting a classification model. According to the method, nerve plexuses can be accurately and quickly identified, normal nerve plexuses and abnormal nerve plexuses are classified firstly, the nerve plexuses in a normal form and an abnormal form are evaluated, subsequent ganglion cell identification is performed after a nerve plexus is identified as a normal nerve plexus, and the identification efficiency and accuracy are greatly improved.

Description

technical field [0001] The invention relates to the technical field of image recognition, in particular to an enteric plexus-assisted recognition method based on an improved progressive residual network. Background technique [0002] Intestinal aganglionosis (aganglionosis) is one of the common developmental malformations of the digestive tract in children. The gold standard for judging intestinal aganglionosis is pathological examination. Its characteristic histological pathological change is the absence of nerve plexus and ganglion cells in the intestinal wall of the stenosis (lesion segment), and the enteric plexus and ganglion cells of normal shape are usually not seen in the myenterium and submucosal. On the contrary, exogenous cholinergic nerve fibers proliferate in a large number, increase in number, become thick, and tightly interweave into bundles, which are wavy or vortex, and the so-called "hypertrophic plexus" appears. The routine diagnostic process for this di...

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): G06V20/69G06N3/04G06N3/08
CPCG06N3/08G06N3/044G06N3/045
Inventor 曹祯庭武海燕吴婷李梦婷钱新月韩传富沈纬唐维兵周春雷唐杰
Owner 南京南数数据运筹科学研究院有限公司
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products