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An abnormality identification method, device and system for a biological organ tissue image

A technology for tissue image and abnormal recognition, applied in the Internet field, can solve the problem of low accuracy in detecting abnormal parts and achieve the effect of improving accuracy

Active Publication Date: 2019-04-23
腾讯医疗健康(深圳)有限公司
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0005] Embodiments of the present invention provide a method, device, and system for identifying abnormalities in images of biological organs and tissues, so as to at least solve the technical problem of low accuracy in detecting abnormal parts in the related art

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  • An abnormality identification method, device and system for a biological organ tissue image
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  • An abnormality identification method, device and system for a biological organ tissue image

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Embodiment Construction

[0023] In order to enable those skilled in the art to better understand the solutions of the present invention, the following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only It is an embodiment of a part of the present invention, but not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts shall fall within the protection scope of the present invention.

[0024] It should be noted that the terms "first" and "second" in the description and claims of the present invention and the above drawings are used to distinguish similar objects, but not necessarily used to describe a specific sequence or sequence. It is to be understood that the data so used are interchangeable under appropriate ...

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Abstract

The invention discloses an abnormality identification method, device and system for a biological organ tissue image. The method comprises the steps of obtaining a first image frame, wherein the firstimage frame is an image which is obtained by shooting a living body and comprises organ tissues of the living body; dividing the first image frame into a plurality of first areas through a target model, searching a target area from a candidate area taking a point in the first area as a center in the first image frame; wherein the target area is a candidate area where the abnormal part of the organtissue of the organism is located in the first image frame, and the target model is a pre-trained neural network model used for identifying the area where the abnormal part of the organ tissue is located in the image frame; and identifying a target area in the first image frame. According to the present invention, the technical problem that in the prior art, the accuracy of abnormal part detection is low is solved.

Description

technical field [0001] The present invention relates to the field of the Internet, in particular to a method, device and system for identifying abnormalities in images of biological organs and tissues. Background technique [0002] With the development of science and technology, the exploration of the natural world is not limited to the surface of things, but more inclined to explore the inner nature of things, for example, for various animal and plant objects in nature, whether there is a detection of the internal existence of animal and plant objects, etc. Abnormal requirements, such as detecting abnormalities in animals and plants. [0003] For the above-mentioned requirement of detecting whether there is abnormality inside the animal or plant object, it is limited by not being able to directly open the object to directly detect the inside of the object, so it is impossible to accurately detect whether there is an abnormality inside the object. [0004] For the above pro...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/62G06K9/00G06V10/764
CPCG06V40/10G06V2201/03G06F18/23G06F18/24G06F18/214G06V10/82G06V10/764G06T7/11G06T7/174G06N3/08G06T7/0014G06T2207/20081G06T2207/20084G06T2207/30032
Inventor 章子健孙钟前付星辉杨巍
Owner 腾讯医疗健康(深圳)有限公司
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