Semi-supervised learning-based portal vein detection and positioning method and system

A semi-supervised learning and hepatic portal vein technology, applied in the field of medical image processing, can solve the problems of time-consuming manual labeling, poor detection and positioning of the hepatic portal vein, etc., and achieve the effect of reducing the cost of manual labeling

Pending Publication Date: 2021-04-30
SHANDONG JIAOTONG UNIV
View PDF6 Cites 1 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The purpose of the present invention is to provide a method and system for hepatic portal vein detection and positioning based on semi-supervised learning, which aims to solve the problems

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
  • Semi-supervised learning-based portal vein detection and positioning method and system
  • Semi-supervised learning-based portal vein detection and positioning method and system
  • Semi-supervised learning-based portal vein detection and positioning method and system

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0063] In order to clearly illustrate the technical features of the solution, the present invention will be described in detail below through specific embodiments and in conjunction with the accompanying drawings. The following disclosure provides many different embodiments or examples for implementing different structures of the invention. In order to simplify the disclosure of the present invention, the components and arrangements of specific examples are described below. Furthermore, the present invention may repeat reference numerals and / or letters in different instances. This repetition is for the purpose of simplicity and clarity and does not in itself indicate a relationship between the various embodiments and / or arrangements discussed. It should be noted that the components illustrated in the figures are not necessarily drawn to scale. Descriptions of well-known components and processing techniques and processes are omitted from the present invention to avoid unneces...

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 provides a semi-supervised learning-based portal vein detection positioning method and system, and the method comprises the steps: carrying out model training through employing a semi-supervised learning model, carrying out feature extraction of unlabeled data, and taking the probability that whether a feature is a portal vein or not as a soft label; carrying out model training through a small number of label samples and a large number of label-free sample data, so that the manual labeling cost is greatly reduced; in addition, focus attention is formed through series connection of channel attention and space attention according to the position feature of the portal vein structure, so that priori knowledge is input into the convolutional neural network to guide model training, and the defects of existing portal vein detection are overcome; a loss function is replaced, a local loss function is selected as the loss function of the classifier, and normal training can still be carried out under the condition that positive and negative samples are unbalanced.

Description

technical field [0001] The present invention relates to the technical field of medical image processing, in particular to a method and system for detecting and locating a hepatic portal vein based on semi-supervised learning. Background technique [0002] As a very important vein in the human body, the hepatic portal vein provides very important support for the normal life activities of the human body. In clinical medicine, it is often necessary to detect and locate the hepatic portal vein in CT images. [0003] Previously, the detection and positioning of the hepatic portal vein in CT images was usually manually identified by professional physicians. While the work efficiency was low, the accuracy completely depended on the physician's work experience, and there was an inevitable problem of positioning errors. Nowadays, with the development of deep learning technology, it is the general trend to apply it to target detection and positioning of CT images. There are many type...

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): G06K9/00G06K9/62G06N3/04G06N3/08G06T7/00G06T7/73
CPCG06N3/08G06N3/088G06T7/0012G06T7/73G06T2207/10081G06T2207/20081G06T2207/20084G06T2207/30056G06T2207/30101G06V40/10G06V40/14G06N3/047G06N3/045G06F18/2155G06F18/2415G06F18/251
Inventor 李克峰刘泉凯张广渊
Owner SHANDONG JIAOTONG UNIV
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

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap