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Image detection method, device, medical image processing equipment and storage medium

A medical image and image detection technology, applied in the field of computer vision, to achieve the effect of improving the accuracy of adenoma recognition

Active Publication Date: 2022-03-01
WUHAN ENDOANGEL MEDICAL TECH CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0005] The purpose of this application is to provide an image detection method, device, medical image processing equipment and storage medium, which can be combined with deep learning technology to achieve accurate analysis of the light source mode of the medical image, and then solve the problem of low reliability of the image source. Improving the accuracy of adenoma recognition in medical images

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  • Image detection method, device, medical image processing equipment and storage medium
  • Image detection method, device, medical image processing equipment and storage medium
  • Image detection method, device, medical image processing equipment and storage medium

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Embodiment Construction

[0040] The following will clearly and completely describe the technical solutions in the embodiments of the application with reference to the drawings in the embodiments of the application. Apparently, the described embodiments are only some of the embodiments of the application, not all of them. Based on the embodiments in this application, all other embodiments obtained by those skilled in the art without making creative efforts belong to the scope of protection of this application.

[0041]In the description of the present application, the terms "first" and "second" are used for descriptive purposes only, and cannot be understood as indicating or implying relative importance or implicitly specifying the quantity of indicated technical features. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of said features. In the description of the present application, "plurality" means two or more, unless otherwise specifically defined.

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Abstract

The present application provides an image detection method, device, medical image processing equipment and storage medium. The method includes: acquiring a medical image to be detected; identifying and classifying the medical image through a trained image classification model, and determining the image type of the medical image ; and performing identification detection on the medical image to extract the target area image in the medical image; performing target detection on the target area image according to the image type to determine the light source mode to which the medical image belongs. By adopting the method, the reliability of the source of the medical image can be improved, and thus the accuracy rate of adenoma recognition of the medical image can be improved.

Description

technical field [0001] The embodiments of the present application relate to the technical field of computer vision, and in particular to an image detection method, device, medical image processing equipment, and storage medium. Background technique [0002] With the rapid development of artificial intelligence technology, computer vision technology centered on deep learning has attracted people's attention and has been gradually applied in the medical field. For example, some scholars have proposed to use electronic stained colorectal endoscopic images to construct a data set, and developed an AI adenoma recognition model that refers to the NBI International Colorectal Endoscopic (NICE) classification diagnostic criteria for colorectal cancer (Colorectal Cancer). Cancer, CC)’s precise image analysis, because 90% of colorectal cancers evolve from adenomas, and accurate identification of adenomas can accurately determine cancerousness. [0003] However, due to manual particip...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06V10/25G06V10/774G06K9/62G06N3/04
CPCG06N3/045G06F18/214
Inventor 杨鑫
Owner WUHAN ENDOANGEL MEDICAL TECH CO LTD