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Image recognition method and related device and equipment

A technology of image recognition and recognition, applied in the field of artificial intelligence, can solve problems such as difficulty in ensuring accuracy, susceptibility to subjective influence, and low efficiency

Pending Publication Date: 2020-12-04
SHANGHAI SENSETIME INTELLIGENT TECH CO LTD
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  • Summary
  • 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 a plurality of to-be-recognized medical images; extracting style feature representation of each to-be-identified medical image; and performing classification processing on the style feature representations of the plurality of to-be-identified medical images to obtain ascanning image category 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): G06K9/62G06K9/46G06K9/34G06N3/04G06N3/08
CPCG06N3/08G06V10/267G06V10/44G06V10/56G06N3/045G06F18/2415
Inventor 陈翼男
Owner SHANGHAI SENSETIME INTELLIGENT TECH CO LTD