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

How to train the recognition model

A technology for identifying models and training methods, which is applied in the field of medical image processing and can solve the problem that the identification methods are difficult to unify.

Active Publication Date: 2021-12-07
SHENZHEN REETOO BIOTECHNOLOGY CO LTD
View PDF2 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the traditional method requires two different ways to identify unstained microscopic images and stained microscopic images, and the identification methods are difficult to unify

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
  • How to train the recognition model
  • How to train the recognition model
  • How to train the recognition model

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0047] In order to make the purpose, technical solution and advantages of the present application clearer, the present application will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present application, and are not intended to limit the present application.

[0048] The training method of the recognition model provided by the embodiment of the present application can be applied to such as figure 1computer equipment shown. The computer device includes a processor and a memory connected through a system bus, and a computer program is stored in the memory. When the processor executes the computer program, the steps of the following method embodiments can be performed. Optionally, the computer device may also include a network interface, a display screen and an input device. Wherein, the processor of the computer device is used t...

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 relates to a training method for a recognition model. The method includes: obtaining a first sample set, a first gold standard image set, a second sample set, a second gold standard image set, a third sample set and a third gold standard image set; the first sample set includes staining biological sample images; the second sample set includes unstained biological sample images; the third sample set includes dyed and unstained biological sample images; according to the first sample set and the first gold standard image set, the second sample set and the second gold standard image set, the third sample set and the third gold standard image set to train the initial recognition model to obtain the recognition model. Adopting the method can ensure that the recognition model can uniformly recognize the dyed secretion image and the undyed secretion image, and improves the uniformity of recognition of the secretion image.

Description

technical field [0001] The present application relates to the technical field of medical image processing, in particular to a training method for a recognition model. Background technique [0002] At present, when the laboratory department of the hospital conducts gynecological examination, it is necessary to identify different cells in vaginal secretions. In the traditional technology, manual microscopic examination is mainly used to identify different cells in unstained microscopic images or dyed microscopic images in gynecological secretion images. However, traditional methods require two different ways to identify unstained microscopic images and stained microscopic images, and it is difficult to unify the identification methods. Contents of the invention [0003] Based on this, it is necessary to provide a training method for a recognition model that can uniformly recognize unstained microscopic images and stained microscopic images for the above technical problems. ...

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): G06T7/00G06T7/73G06K9/46G06K9/62G06N3/04G06N3/08
CPCG06T7/0012G06T7/73G06N3/08G06T2207/10024G06T2207/10056G06T2207/20016G06T2207/20081G06T2207/20084G06T2207/30024G06N3/045G06F18/241
Inventor 许德鹏刘晓康张裕剑刘剑
Owner SHENZHEN REETOO BIOTECHNOLOGY CO LTD