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Colorectal polyp image recognition method, device and storage medium

An identification method and technology for rectal polyps, which are applied in the medical field to achieve the effect of enhancing image features and accurate prediction

Active Publication Date: 2021-10-22
TIANJIN YUJIN ARTIFICIAL INTELLIGENCE MEDICAL TECH CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, at present, it still relies on doctors to judge the results of typing based on experience and visual observation, and there are subjective differences.

Method used

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  • Colorectal polyp image recognition method, device and storage medium
  • Colorectal polyp image recognition method, device and storage medium
  • Colorectal polyp image recognition method, device and storage medium

Examples

Experimental program
Comparison scheme
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Embodiment 1

[0050] The embodiment of the present invention provides a method for predicting the result of NICE typing of colorectal polyps, such as figure 1 As shown, the method for predicting the result of NICE typing of colorectal polyps includes:

[0051] S101. Perform color equalization processing and edge feature map fusion on the colorectal part image to obtain a gradient feature fusion map of the colorectal part image;

[0052]S102, calling the pre-built NICE classification model based on the attention splitting module ResNeSt Block to identify the gradient feature fusion map of the colorectal part image;

[0053] S103. Evaluate the NICE type of colorectal polyps in the colorectum according to the identification result.

[0054] In the embodiment of the present invention, the color equalization processing and edge feature map fusion processing are performed on the colorectal part image to construct the recognition sample, which can effectively unify and strengthen the image featu...

Embodiment 2

[0110] An embodiment of the present invention provides a colorectal polyp NICE typing result prediction device, the colorectal polyp NICE typing result prediction device includes: a memory, a processor, and a device stored in the memory and operable on the processor computer program;

[0111] When the computer program is executed by the processor, the steps of the method for predicting the result of NICE typing of colorectal polyps as described in any one of the first embodiment are realized.

[0112] Wherein, the device for predicting the result of colorectal polyp NICE typing may be an endoscope detection device, and the storage may be a cloud storage.

Embodiment 3

[0114] An embodiment of the present invention provides a computer-readable storage medium. The computer-readable storage medium stores a colorectal polyp NICE typing result prediction program. When the colorectal polyp NICE typing result prediction program is executed by a processor, The steps of the method for predicting the result of NICE typing of colorectal polyps as described in any one of the first embodiment are realized.

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Abstract

The present application relates to a colorectal polyp image recognition method, device and storage medium. The identification method of the colorectal polyp image comprises: performing color equalization processing and edge feature map fusion on the colorectal part image to obtain a gradient feature fusion map of the colorectal part image; calling a pre-built attention-based splitting module The colorectal polyp classification classification model of ResNeSt Block recognizes the gradient feature fusion map of the colorectal part image. This application builds recognition samples by color equalization processing and edge feature map fusion processing on colorectal images, which can effectively unify and strengthen image features, and perform feature extraction through a feature extraction network based on ResNeSt Block, which can predict more accurately The results of colorectal polyp classification can assist doctors in inferring the pathological properties of colorectal polyps.

Description

technical field [0001] The present application relates to the field of medical technology, and in particular to a colorectal polyp image recognition method, device and storage medium. Background technique [0002] Colorectal polyps refer to protruding lesions protruding from the intestinal lumen, and are one of the common intestinal diseases, including adenomatous polyps and non-adenomatous polyps (hamartomatous polyps, metaplastic polyps and inflammatory polyps) , of which adenomatous polyps are precancerous lesions. The morbidity and mortality of colorectal cancer in China are increasing year by year. Most patients are in the advanced stage when they are discovered, and the 5-year survival rate is less than 50%. Colonoscopy is the most intuitive and effective way to find lesions, which can improve the detection of early intestinal cancer and reduce mortality. Electronic chromoendoscopy is an important progress in the field of digestive endoscopy in recent years, such as ...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T7/00G06K9/46G06K9/62G06N3/04
CPCG06T7/0012G06T2207/10068G06T2207/30032G06V10/44G06N3/045G06F18/253G06F18/214G06V2201/032G06V10/56G06V10/806G06V10/764G06V10/778G06V10/82G06V10/774G06T7/13G06T2207/20081G06T2207/20084
Inventor 李佳昕王玉峰
Owner TIANJIN YUJIN ARTIFICIAL INTELLIGENCE MEDICAL TECH CO LTD
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