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Image recognition method and related device and equipment

An image recognition and to-be-recognized technology, applied in the field of artificial intelligence, can solve the problems of being susceptible to subjective influence, difficult to ensure accuracy, low efficiency, etc., to achieve the effect of avoiding manual participation, improving efficiency, and improving accuracy

Pending Publication Date: 2020-08-07
SHANGHAI SENSETIME INTELLIGENT TECH CO LTD
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the above-mentioned method of manually identifying the scanned image category of medical images is inefficient and susceptible to subjective influences, making it difficult to ensure accuracy

Method used

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  • Image recognition method and related device and equipment
  • Image recognition method and related device and equipment
  • Image recognition method and related device and equipment

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Embodiment Construction

[0041] The solutions of the embodiments of the present application will be described in detail below in conjunction with the accompanying drawings.

[0042] In the following description, for purposes of illustration rather than limitation, specific details, such as specific system architectures, interfaces, and techniques, are set forth in order to provide a thorough understanding of the present application.

[0043] The terms "system" and "network" are often used interchangeably herein. The term "and / or" in this article is just an association relationship describing associated objects, which means that there can be three relationships, for example, A and / or B can mean: A exists alone, A and B exist simultaneously, and there exists alone B these three situations. In addition, the character " / " in this article generally indicates that the contextual objects are an "or" relationship. In addition, "many" herein means two or more than two.

[0044] see figure 1 , figure 1 It ...

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Abstract

The invention discloses an image recognition method, a related device and equipment, and the method comprises the steps: obtaining at least one to-be-recognized medical image obtained through scanning, and respectively determining a target region, corresponding to a target organ, in each to-be-recognized medical image; respectively carrying out feature extraction on the image data of each target area to obtain individual feature representation of each to-be-identified medical image; fusing the individual feature representations of the at least one to-be-identified medical image to obtain a global feature representation; and determining a scanning image category to which each to-be-identified medical image belongs by utilizing the individual feature representation and the global feature representation of each to-be-identified medical image. According to the scheme, the image recognition efficiency and accuracy can be improved.

Description

technical field [0001] This application relates to the technical field of artificial intelligence, in particular to an image recognition method and related devices and equipment. Background technique [0002] Medical images such as CT (Computed Tomography, computerized tomography) and MRI (Magnetic Resonance Imaging, nuclear magnetic resonance scanning) have important clinical significance. In order to make medical images clinically applicable, it is generally necessary to scan medical images of at least one type of scanned images. Taking liver-related clinics as an example, scan image categories often include time series-related pre-contrast plain scan, early arterial phase, late arterial phase, portal venous phase, delayed phase, etc. In addition, scan image categories can also include T1-weighted inverse imaging, T1-weighted in-phase imaging, T2-weighted imaging, diffusion-weighted imaging, surface diffusion coefficient imaging, etc. [0003] At present, during the scan...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/62G06K9/32G06N3/04
CPCG06V10/25G06N3/045G06F18/253G06V40/00G06V10/806G06V10/764G06V2201/031G06V2201/07G06T2207/30004
Inventor 叶宇翔陈翼男
Owner SHANGHAI SENSETIME INTELLIGENT TECH CO LTD
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