Method for positioning focus under bronchoscope based on reinforcement learning

Through a method based on enhancement learning, combined with connectivity domain extraction and common loop coefficient analysis, the lesion spacer in the bronchoscopic image is identified, which solves the problem of inaccurate positioning of the lesion area and achieves higher positioning accuracy.

CN120411247AActive Publication Date: 2025-08-01NANTONG HUADUO INFORMATION TECH CO LTD +1
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Patent Information

Application Number
CN202510907772.1
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-07-02
Publication Date
2025-08-01
Estimated Expiration
2045-07-02

AI Technical Summary

Technical Problem

In the prior art, the accuracy of the positioning of the lesion area of the bronchoscopic image is poor, mainly due to the small difference in grayscale between the lesion area and the normal tissue area, resulting in frequent misjudgment.

Method used

Using a method based on enhancement learning, the lesion spacer is identified through connective domain extraction, cartilage candidate edge screening, common loop coefficient calculation and incomplete factor analysis, and the lesion location is judged based on consistency indicators.

Benefits of technology

The positioning accuracy of the lesion area of the bronchoscopic image is improved. By comprehensively considering multiple characteristic characteristics, the quantification accuracy of the lesion spacer is enhanced and the positioning accuracy is improved.

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Abstract

The invention relates to the technical field of reinforcement learning, in particular to a bronchoscope focus positioning method based on reinforcement learning, and the method comprises the steps: obtaining a current bronchoscope image, carrying out the connected domain extraction of the current bronchoscope image, and screening out a channel connected domain and a cartilage candidate edge from the obtained connected domain; screening out a real cartilage edge; constructing channel cartilage edge clusters, and determining a common ring coefficient between every two real cartilage edges in each channel cartilage edge cluster; screening out a common-ring edge cluster, and identifying a spacing line; determining an incomplete factor corresponding to each spacing line; determining a consistency index corresponding to each incomplete spacing line; and if the consistency index corresponding to the incomplete spacing line is greater than a preset consistency threshold value, determining the incomplete spacing line as a focus spacing line. According to the invention, the location of the focus area of the bronchoscope image is realized, and the location accuracy of the focus area of the bronchoscope image is improved.
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