Helicobacter pylori stomach video full-automatic intelligent analysis system and marking method thereof

A Helicobacter pylori and intelligent analysis technology, applied in image analysis, computer parts, diagnostic records/measurement, etc., can solve the problems of low automation of reasoning and high cost of data labeling

Pending Publication Date: 2022-04-15
ZHEJIANG UNIV
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] The purpose of the present invention is to solve the problems of high data labeling cost and low degree of reasoning automation existing in the existing Helicobacter pylori identification technology under the endoscope, and provide a fully automatic intelligent analysis system for Helicobacter pylori stomach video

Method used

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  • Helicobacter pylori stomach video full-automatic intelligent analysis system and marking method thereof
  • Helicobacter pylori stomach video full-automatic intelligent analysis system and marking method thereof
  • Helicobacter pylori stomach video full-automatic intelligent analysis system and marking method thereof

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Embodiment 1

[0051] figure 1 It shows a schematic diagram of a fully automatic intelligent analysis system for Helicobacter pylori gastric video in this embodiment. The intelligent analysis system runs on a computer system and includes an image acquisition module, an image preprocessing module, an effective frame module, and an anatomical position A positioning module, a deep learning module and a marker display module are connected sequentially.

[0052] Wherein, the image acquisition module acquires the video stream of the regular white light endoscope of the stomach input in real time through the endoscope image system.

[0053] Among them, the image preprocessing module is used to process the image of the video stream into the input form required by the deep learning model, and the image enhancement processing includes: image normalization, invalid pixel cropping, and image scaling pixel cropping.

[0054] Among them, the effective frame module uses deep learning technology to classif...

Embodiment 2

[0080] see Figure 5 , a fully automatic real-time labeling method for Helicobacter pylori, using the above-mentioned intelligent analysis system, the specific steps include:

[0081] S100 obtains the conventional white light endoscopic video stream of the subject's stomach through the image acquisition module and the endoscope image system equipment, and refreshes the display on the marker display module;

[0082] S101 preprocessing the video stream through the image preprocessing module;

[0083] S102 classifies and screens the video stream through the effective frame module to obtain an effective frame image;

[0084] S103 Marking and displaying the anatomical position type of the current frame through the anatomical position positioning module, refreshing and displaying the coverage rate of the currently checked position, and prompting the remaining unchecked positions;

[0085] S104 predicting the infection probability of Helicobacter pylori on all valid frame images th...

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Abstract

The invention belongs to the field of medical data mining, and particularly relates to a helicobacter pylori stomach video full-automatic intelligent analysis system and a marking method thereof.The helicobacter pylori stomach video full-automatic intelligent analysis system comprises an image acquisition module, an image preprocessing module, an effective frame module, an anatomical position positioning module, a deep learning module and a mark display module; the image preprocessing module is used for preprocessing images of a video stream, the effective frame module is used for classifying and screening the images of the video stream, and the anatomical position positioning module is used for identifying the specific position of an endoscope in the stomach currently. And the deep learning module is used for predicting the helicobacter pylori infection probability for the pictures of different anatomical positions. In the testing process, a doctor does not need to step on a pedal to input a specific picture for helicobacter pylori infection recognition, manual intervention is not needed in the whole process, and full automation and high intelligence can be achieved.

Description

technical field [0001] The invention belongs to the field of medical data mining, and in particular relates to a fully automatic intelligent analysis system for Helicobacter pylori stomach video and a marking method thereof. Background technique [0002] Helicobacter pylori or Helicobacter pylori, English name Helicobacterpylori. Helicobacter pylori causes progressive damage to the gastric mucosa, and it has a pathogenic role in several important diseases, including duodenal ulcer, gastric ulcer, gastric adenocarcinoma, and gastric mucosa-associated lymphoid tissue (MALT) lymphoma. Almost all patients with gastric cancer have a history of Helicobacter pylori infection. Timely detection and eradication of Helicobacter pylori infection can effectively reduce the risk of gastric cancer. Moreover, according to an international risk assessment analysis, even after the eradication of Helicobacter pylori, the risk of gastric cancer is still higher than that of people who have neve...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/00G16H30/20A61B5/00G06K9/62G06V10/764
Inventor 刘济全胡伟玲章鑫森沈玉清余涛段会龙姒健敏
Owner ZHEJIANG UNIV
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