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Method for identifying medical image, method for model training and server

A medical image and recognition model technology, which is applied in the field of model training and medical image recognition methods, can solve the problems of consuming medical workers' time, prone to errors, and reducing the reliability and accuracy of medical image recognition, so as to save manual labeling The effect of cost and time cost, strong reliability and trustworthiness

Active Publication Date: 2019-03-12
TENCENT TECH (SHENZHEN) CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] However, a large number of medical images also need to consume a lot of time for medical workers to label, resulting in high labeling costs
In addition, manual labeling of medical images is prone to errors, which reduces the reliability and accuracy of medical image recognition

Method used

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  • Method for identifying medical image, method for model training and server
  • Method for identifying medical image, method for model training and server
  • Method for identifying medical image, method for model training and server

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Experimental program
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Embodiment Construction

[0057] Embodiments of the present invention provide a medical image recognition method, a model training method, and a server, which can greatly save manual labeling costs and time costs. In addition, using this model to recognize medical images can be applied to a variety of scenarios, and the accuracy of recognition will not cause deviations with different users, and it has strong reliability and credibility.

[0058] The terms "first", "second", "third", "fourth", etc. (if any) in the description and claims of the present invention and the above drawings are used to distinguish similar objects, and not necessarily Used to describe a specific sequence or sequence. It is to be understood that the data so used are interchangeable under appropriate circumstances such that the embodiments of the invention described herein are, for example, capable of practice in sequences other than those illustrated or described herein. Furthermore, the terms "comprising" and "having", as well...

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Abstract

The embodiment of the invention discloses a method for identifying a medical image. The method comprises the steps that a to-be-identified medical image set is obtained, wherein the to-be-identified medical image set comprises at least one to-be-identified medical image; a to-be-identified area corresponding to each one to-be-identified medical image in the to-be-identified medical image set is extracted, wherein the to-be-identified area belongs to a part of the to-be-identified medical images; the recognition result of each to-be-identified area is determined through a medical image recognition model, the medical image recognition model is obtained according to training of a medical image sample set, the medical image sample set comprises at least one medical image sample, each medical image sample carries corresponding annotation information, the annotation information is used for indicating the types of the medical image samples, and the recognition result is used for indicating the types of the to-be-identified medical images. The embodiment of the invention also discloses a method for model training and a server. The method for identifying the medical image, the method for model training and the server greatly save the manual annotation cost and time cost, and have stronger reliability and credibility.

Description

technical field [0001] The invention relates to the field of artificial intelligence, in particular to a medical image recognition method, a model training method and a server. Background technique [0002] With the emergence and rapid development of medical imaging technologies such as computed tomography (CT), magnetic resonance imaging (MRI) and ultrasound (ultrasonic, US), a large number of clinical diagnostic data are generated and stored in hospitals. and analyzed medical images. In recent years, with the rapid development of computers and related technologies and the maturation of graphics and image technology, medical workers can observe medical images from multiple directions, levels, and angles, thereby assisting doctors to diagnose lesions and other sensitive images. Focused analysis on the region of interest improves the accuracy of clinical diagnosis. [0003] At present, for the identification of medical images, it is mainly through medical workers to mark me...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G16H30/20G16H30/40G06V10/32G06V10/774
CPCG16H30/20G16H30/40G06T7/0012G06T7/11G06T2207/20081G06T2207/20084G06T2207/30096G06T2207/30061A61B5/055A61B2576/00A61B5/7267A61B5/08G06F16/5854G16H50/20G16H50/70G16H40/67G06V10/32G06V10/751G06V2201/03G06V10/774G16H70/20A61B6/5217A61B8/5223G06F17/11G06F18/214
Inventor 肖凯文孙钟前程陈杨巍
Owner TENCENT TECH (SHENZHEN) CO LTD
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