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

Prostate ultrasonic image segmentation and classification method

An ultrasound image and image segmentation technology, applied in the field of image processing, can solve the problems of speckle noise, high complexity, doctor's judgment, work trouble and pressure, etc., to achieve the effect of improving the accuracy of diagnosis and the accuracy of classification

Pending Publication Date: 2020-10-09
GUANGDONG POLYTECHNIC NORMAL UNIV +1
View PDF8 Cites 1 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] Due to serious problems such as speckle noise and low signal-to-noise ratio in medical graphics, the classification of current medical images is not accurate enough and the degree of complexity is high, which brings a lot of trouble and pressure to doctors' later judgment and work.

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
  • Prostate ultrasonic image segmentation and classification method
  • Prostate ultrasonic image segmentation and classification method
  • Prostate ultrasonic image segmentation and classification method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0046] The present invention will be further described below in conjunction with the examples, but it should be noted that the examples do not limit the protection scope of the present invention.

[0047] A method for segmenting and classifying prostate ultrasound images provided by an embodiment of the present invention includes the following steps:

[0048] 101. Establish an image segmentation model;

[0049] 102. Establish an image classification model;

[0050] 103. Combining the image segmentation model with the image classification model to form an image segmentation classification model;

[0051] 104. Input the collected ultrasound images of the prostate into the image segmentation classification model for classification.

[0052] Wherein, the steps of establishing an image segmentation model specifically include:

[0053] Use labelme software to segment the prostate region in the collected prostate ultrasound images to generate a manually segmented Mask map; establi...

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 prostate ultrasonic image segmentation and classification method. The method comprises the following steps: establishing an image segmentation model; establishing an image classification model; combining the image segmentation model with the image classification model to form an image segmentation classification model; and inputting the acquired prostate ultrasonic imagesinto an image segmentation and classification model for classification. Compared with the prior art, the method can improve the classification precision of the image, and improves the later diagnosisefficiency and accuracy.

Description

technical field [0001] The invention relates to the technical field of image processing, in particular to a method for segmenting and classifying prostate ultrasound images. Background technique [0002] Medical image classification is an important research direction in the field of computer vision. Classification technology provides application value for detection and disease treatment in the medical field. With the rapid development of artificial intelligence in the medical field, image classification has been extensively studied in the field of pattern recognition. and use. [0003] Due to serious problems such as speckle noise and low signal-to-noise ratio in medical image display, the classification of current medical images is not accurate enough and the degree of complexity is high, which brings a lot of trouble and pressure to doctors' later judgment and work. [0004] Therefore, how to provide an ultrasound image segmentation and classification method that can impr...

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): G06T7/11G06K9/62G06K9/32G06N3/04G06N3/08
CPCG06T7/11G06N3/08G06T2207/10132G06T2207/20081G06T2207/20084G06T2207/30081G06V10/25G06V2201/03G06N3/045G06F18/241G06F18/214
Inventor 卢旭沈顺博黄君卓育敏杨川
Owner GUANGDONG POLYTECHNIC NORMAL UNIV
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

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

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com