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Digestive tract endoscope image recognition model training and recognition method, device and system

An image recognition and digestive tract technology, applied in the computer field, can solve the problems of low prediction accuracy of model lesions, single sample labeling, etc.

Active Publication Date: 2019-11-19
TENCENT HEALTHCARE (SHENZHEN) CO LTD
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  • Abstract
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  • Claims
  • Application Information

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Problems solved by technology

[0006] Embodiments of the present invention provide a training and recognition method, device and system for digestive tract endoscope image recognition models to solve the problem in the prior art that the sample labeling is single, resulting in low accuracy of the trained model in predicting lesions

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  • Digestive tract endoscope image recognition model training and recognition method, device and system

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Embodiment approach

[0108] The first embodiment: the training image sample set only includes strong-label training image samples, then based on the image feature information of the image samples and the corresponding strong label information, mark the image feature information belonging to each preset lesion category, and according to the marking results, The image recognition model is trained until the strongly supervised objective function of the image recognition model converges, and the trained image recognition model is obtained.

[0109] It specifically includes: S1. According to the image feature information of the image sample and the corresponding strong label information, mark the image feature information belonging to each preset lesion category, and determine the strong supervision objective function according to the marking result.

[0110] In the embodiment of the present invention, when training based on strong-label training image samples, the input of the image recognition model i...

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Abstract

The invention relates to the technical field of computers, and mainly relates to a computer vision technology in artificial intelligence, particularly relates to a digestive tract endoscope image recognition model training and recognition method, device and system. The methos comprises steps of obtaining a training digestive tract endoscope image sample set, wherein the training digestive tract endoscope image sample set at least comprises a strong label digestive tract endoscope training image sample; based on the image feature information and the corresponding strong label information, marking the image feature information belonging to each preset lesion category; training the digestive tract endoscope image recognition model according to the marking result until the strong supervision target function converges, and obtaining the trained digestive tract endoscope image recognition model, thereby obtaining a lesion category recognition result of the to-be-recognized digestive tract endoscope image based on the digestive tract endoscope image recognition model. Image feature information of a certain lesion category can be more accurately positioned according to the lesion position,noise is reduced, and reliability and accuracy are improved.

Description

[0001] The application date of this invention is April 10, 2019, and the application number is 201910284918.6 The name of the invention is A divisional application of the invention application of "an image recognition model training and image recognition method, device and system". technical field [0002] The invention relates to the field of computer technology, in particular to a training and recognition method, device and system for a digestive endoscope image recognition model. Background technique [0003] For various medical imaging diagnostic analysis, for example, the diagnosis of digestive tract diseases is usually based on diagnostic tools such as endoscopy. After obtaining the internal image of the body, relevant medical personnel can judge whether there is a lesion and the type of the lesion by human eye observation. The recognition efficiency is low. [0004] In the prior art, a recognition method is also provided, which is mainly to obtain a large number of...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/00
CPCG06T7/0012G06T2207/20081G06T2207/20084G06T2207/30096G06T2207/10068G06T2207/30092G06T2207/30028G16H50/20G16H30/40G16H50/70G06N3/08G06N3/048G06N3/045
Inventor 郑瀚孙钟前尚鸿付星辉杨巍
Owner TENCENT HEALTHCARE (SHENZHEN) CO LTD
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