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

Training method and device of endoscope image feature learning model and classification model

An image feature and learning model technology, applied in the field of artificial intelligence, can solve the problem of not learning features and so on

Active Publication Date: 2021-11-26
BEIJING BYTEDANCE NETWORK TECH CO LTD
View PDF3 Cites 7 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, this type of method only learns contrastive learning at the image level, but does not learn features at different levels at different scales.

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
  • Training method and device of endoscope image feature learning model and classification model
  • Training method and device of endoscope image feature learning model and classification model
  • Training method and device of endoscope image feature learning model and classification model

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0053] The technical solutions in the embodiments of the present application will be clearly and completely described below in conjunction with the accompanying drawings. Apparently, the described embodiments are only some of the embodiments of the present application, not all of the embodiments. Based on the embodiments of the present application, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts also fall within the protection scope of the present application.

[0054] The terms used in this specification are those general terms currently widely used in the art in consideration of functions about the present disclosure, but the terms may be changed according to the intention of those of ordinary skill in the art, precedents, or new technologies in the art. Also, specific terms may be selected by the applicant, and in this case, their detailed meanings will be described in the detailed description of the present disclosure. ...

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 training method and device of an endoscope image feature learning model and a classification model. The method comprises the following steps of acquiring a first training data set, wherein the first training data set comprises one or more endoscope images with a to-be-recognized object and one or more endoscope images without the to-be-recognized object; inputting the first training data set into the endoscope image feature learning model; performing unsupervised contrast learning on the endoscope image feature learning model based on the first training data set to obtain a trained endoscope image feature learning model, wherein the endoscope image feature learning model comprises a plurality of contrast learning sub-modules, and each of the plurality of comparative learning sub-modules is used for extracting the feature representations of different scales of the same endoscope image in the first training data set; and carrying out comparative learning based on the extracted feature representations of different scales.

Description

technical field [0001] The present application relates to the field of artificial intelligence, in particular to a training method of an endoscope image feature learning model based on comparative learning, a training method of an endoscope image classification model, an endoscope image classification method, a device and a computer readable medium. Background technique [0002] Most colorectal cancers start as growths on the surface of the lining of the colon, called polyps, and some polyps can develop into cancer. Therefore, early diagnosis becomes a key link in the prevention and treatment of rectal cancer. Colonoscopy is the preferred examination method for the prevention and diagnosis of intestinal cancer, and endoscopic minimally invasive treatment of some early gastrointestinal cancers can achieve the goal of curative resection. Colonoscopy is the process of observing colonic lesions (such as inflammation, tumors, etc.) from the mucosal side by using an electronic co...

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): G06T7/00G06K9/62G06N3/08
CPCG06T7/0012G06N3/088G06T2207/10068G06T2207/20081G06F18/22G06F18/24G06F18/214
Inventor 边成
Owner BEIJING BYTEDANCE NETWORK TECH CO LTD