Image recognition method, device, computer equipment and storage medium

A technology of image recognition and computer programs, applied in the computer field, can solve problems such as inaccurate results and imperfect neural network models

Active Publication Date: 2022-06-17
WUHAN UNITED IMAGING HEALTHCARE CO LTD
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0004] The above method, due to the imperfection of the neural network model, makes the output result inaccurate after being processed by the neural network model

Method used

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  • Image recognition method, device, computer equipment and storage medium
  • Image recognition method, device, computer equipment and storage medium
  • Image recognition method, device, computer equipment and storage medium

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Embodiment Construction

[0038] In order to make the purpose, technical solutions and advantages of the present application more clearly understood, the present application will be described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application, but not to limit the present application.

[0039] With the rapid development of science and technology, medical imaging technology plays an increasingly important role. Medical imaging refers to the technology and processing process of obtaining internal tissue images of a living body or a certain part of the living body in a non-invasive manner for medical treatment or medical research.

[0040] In the traditional method, medical images are manually identified and researched by doctors to obtain research results on medical images. However, with the rapid development of computer technology, neural network mode...

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Abstract

The application relates to an image recognition method, device, computer equipment and storage medium, which are applicable to the field of computer technology. The method includes: inputting a target medical image into a target neural network model, where the target medical image includes at least one image region; at least one image region includes a region of interest; performing at least two features on the target medical image through the target neural network model Extraction process, wherein, after each feature extraction process, determine the forward area from at least one image area according to the extracted feature information, and use the determined forward area as the input of the next feature extraction process, the forward area is The probability of the region of interest is greater than a preset probability threshold; and the target medical image is identified according to the forward region obtained after at least two feature extraction processes. The method can make the identified region of interest more accurate, and improve the accuracy of the output of the target neural network model.

Description

technical field [0001] The present application relates to the field of computer technology, and in particular, to an image recognition method, apparatus, computer equipment and storage medium. Background technique [0002] With the rapid development of science and technology, medical imaging technology plays an increasingly important role. Medical imaging refers to the technology and processing process of obtaining internal tissue images of a living body or a certain part of the living body in a non-invasive manner for medical treatment or medical research. In terms of clinical application, medical imaging is also known as medical imaging, and medical imaging technology is divided into Computed Tomography (CT) imaging technology, Magnetic Resonance Imaging (MRI) imaging technology and Positron Emission Computed Tomography (Positron) imaging technology. Emission Computed Tomography, PET) imaging technology. [0003] In the traditional method, the neural network model is usu...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T7/00G06V10/25G06V10/44G06V10/764G06V10/82G06K9/62G06N3/04G06N3/08
CPCG06T7/0012G06N3/08G06T2207/20104G06T2207/20081G06T2207/30004G06T2207/20076G06V10/25G06V10/44G06N3/044G06N3/045G06F18/241
Inventor 魏巍
Owner WUHAN UNITED IMAGING HEALTHCARE CO LTD
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