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Image processing method, device, storage medium, equipment and system

An image processing and image technology, applied in the field of machine learning, can solve the problem of low detection accuracy and achieve the effect of high efficiency, cumulative error, and no cumulative error

Active Publication Date: 2019-06-14
腾讯医疗健康(深圳)有限公司
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  • Application Information

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Problems solved by technology

[0007] The embodiment of the present application provides an image processing method, device, storage medium, equipment and system, which solves the problem of low detection accuracy in related technologies

Method used

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  • Image processing method, device, storage medium, equipment and system
  • Image processing method, device, storage medium, equipment and system
  • Image processing method, device, storage medium, equipment and system

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Embodiment Construction

[0040] In order to make the purpose, technical solution and advantages of the present application clearer, the implementation manners of the present application will be further described in detail below in conjunction with the accompanying drawings.

[0041] Before explaining the embodiment of the present application in detail, some nouns involved in the embodiment of the present application will be explained first.

[0042] CNN: The English full name is Convolutional Neural Network, and the Chinese name is Convolutional Neural Network.

[0043] In short, CNN is a computing network composed of multiple convolution operations, mostly used for deep learning. Among them, deep learning technology is a technology that uses a deep neural network system for machine learning.

[0044] CAD: English full name Computer Aided Diagnosis, Chinese name Computer Aided Diagnosis.

[0045] Among them, CAD is used to assist in the detection of lesions and improve the accuracy of diagnosis thro...

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Abstract

The invention discloses an image processing method and device, a storage medium, equipment and a system, and belongs to the technical field of machine learning. The method comprises the steps of obtaining a video image stream of a to-be-detected body part; sequentially carrying out focus detection on each frame of image in the video image stream; for the current frame of image, classifying the current frame of image according to a first focus detection result of a previous frame of image and a second focus detection result of the current frame of image; wherein the previous frame of image is at least one frame of image located in front of the current frame of image in time sequence. The invention discloses an image processing method. The prediction result of the previous frame of image isconsidered in the prediction of the current frame of image, the advantages of high efficiency and no accumulative error of a single frame of image detection method are integrated, the accuracy of image classification is remarkably improved by fusing the related information of other frames of images, and the continuity of the prediction result is ensured.

Description

technical field [0001] The present application relates to the technical field of machine learning, and in particular to an image processing method, device, storage medium, equipment and system. Background technique [0002] As the core of artificial intelligence, machine learning technology has been applied in various fields, such as the medical field. In the medical field, the use of machine learning technology to process medical imaging images can realize the identification of whether a patient suffers from a certain disease. Taking colorectal cancer as an example, colonoscopy has been widely used in colon cancer screening nowadays. After obtaining the medical imaging image of the patient's colorectal part, computer-aided detection technology is used to process the medical imaging image to detect whether the intestinal wall is There are polyps, so as to assist doctors in identifying whether a patient is suffering from colorectal cancer based on the presence of polyps. ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06T5/00G06T7/00G06T7/11G06T7/136G06T7/194
CPCG06T7/136G06T7/194G06T7/11G06T7/0012G06V20/41G06T5/70
Inventor 郑贺姚建华韩骁黄俊洲
Owner 腾讯医疗健康(深圳)有限公司
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