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
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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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