Explainable cervical cell image rapid hierarchical recognition method and system

A cervical cell and identification method technology, which is applied in the field of cervical cell image rapid classification identification method and system, and achieves the effect of reducing false identification and leakage identification.

Active Publication Date: 2017-07-28
深思考人工智能机器人科技(北京)有限公司
View PDF5 Cites 25 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The technical problem mainly solved by the present invention is to provide an interpretable cervical cell image rapid grading recognition metho...

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
  • Explainable cervical cell image rapid hierarchical recognition method and system
  • Explainable cervical cell image rapid hierarchical recognition method and system
  • Explainable cervical cell image rapid hierarchical recognition method and system

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0031] The preferred embodiments of the present invention will be described in detail below in conjunction with the accompanying drawings, so that the advantages and features of the present invention can be more easily understood by those skilled in the art, so as to define the protection scope of the present invention more clearly.

[0032] like figure 1 As shown, an interpretable cervical cell image rapid grading recognition method, the method includes:

[0033] Step 1) Perform preprocessing on the segmented cervical cell image: in order to match the input data format of the two-stream convolutional neural network, first scan the segmented cervical cell area, and fill in the cell boundary pixel value, the cell The pixel values ​​outside the boundary are filled with 0, and then the cell image after filling the pixel values ​​is uniformly normalized to a pixel value size of 256*256;

[0034] Step 2) judge whether the above-mentioned cell image is a single cell, if yes, go to ...

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 explainable cervical cell image rapid hierarchical recognition method and system. The method comprises steps of 1) pretreating a segmented cervical cell image; 2) judging whether the pretreated cell image is a single cell and, if so, moving to a step 3), otherwise, the image being an indivisible cell cluster, and moving to a step 7); 3) calculating a cell parameter characteristic; 4) establishing a cell knowledge map reasoning judgment model and inputting the cell parameter characteristic into the model to obtain a first hierarchical result of the single cell; 5) constructing a double-flow convolution neural network model with additional domain knowledge, and obtaining the second hierarchical result of the single cell based on the model; 6) obtaining a hierarchical result of the single cell in conjunction with the first hierarchical result and the second hierarchical result; and 7) constructing a double-flow convolution neural network model of cell clusters, and using the model to perform hierarchical identification of the cell clusters of indivisible cell clusters.

Description

technical field [0001] The invention relates to the field of medical cell image processing, in particular to an interpretable method and system for rapid classification and recognition of cervical cell images. Background technique [0002] Existing cervical cell image analysis methods in the clinical diagnosis process, such as TCT, SurePath and other mainstream screening imaging technologies, completely rely on the personal experience of the doctor to interpret the smear, which usually can only determine the presence or absence of lesions qualitative conclusions. Due to factors such as different staining quality of cervical liquid-based smears, different experience of doctors who read the films, and visual fatigue caused by high-intensity film reading work, the results of cervical cell imaging show a low positive detection rate and easy missed diagnosis of cancerous cells. And the work efficiency of film reading is low. Rapid classification and recognition of single cells ...

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): G06T7/00G06T7/11G06K9/34G06K9/62G06N5/02G06N3/04
CPCG06N5/022G06T7/0012G06T2207/20161G06T2207/20152G06T2207/30096G06V10/267G06N3/045G06F18/2163G06F18/214
Inventor 杨志明李亚伟
Owner 深思考人工智能机器人科技(北京)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

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