Digestive tract tumor recognition method and system and medium

By employing an adaptive Z-axis scanning strategy and extracting glandular structure features, the image distortion problem caused by oblique cutting in the identification of gastrointestinal tumors was solved, achieving efficient and accurate tumor identification and improving scanning efficiency and data quality.

CN121998926AInactive Publication Date: 2026-05-08SICHUAN CANCER HOSPITAL
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Patent Information

Application Number
CN202610071641.9
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2026-01-20
Publication Date
2026-05-08
Estimated Expiration
Not applicable · inactive patent

AI Technical Summary

Technical Problem

Existing digital pathology scanning technology, when processing digestive tract tissues, suffers from distortions in the cross-sectional shape of glandular ducts due to deviations in the tissue embedding process and the physical cutting angle of the slicer. This affects the assessment of tumor glandular atypia. Furthermore, traditional scanning methods cannot detect local tissue tilt, leading to the loss of key texture information and an increase in redundant data, thus reducing scanning efficiency and storage space utilization.

Method used

By acquiring low-magnification pre-scan images of gastrointestinal pathology slides, identifying tissue regions, extracting glandular structural features and performing ellipse fitting, calculating the section tilt, generating an adaptive Z-axis scanning strategy, adjusting the sampling step size and number of sampling layers, performing high-magnification scanning, generating full slide image data containing depth information, extracting tumor morphological features, and identifying gastrointestinal tumor regions.

Benefits of technology

It effectively avoids local defocusing and morphological distortion caused by oblique tissue cutting, improves image clarity and inter-slice registration accuracy, optimizes scanning accuracy and efficiency, and enhances the accuracy and robustness of automatic identification of gastrointestinal tumors.

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Abstract

The invention discloses a digestive tract tumor recognition method and system and a medium, and relates to the technical field of medical image processing.According to the method, the step length and the layer number of Z-axis sampling are dynamically optimized according to the calculated tangent plane inclination angle, and on the premise that it is guaranteed that a complete glandular tube three-dimensional structure is collected, the number of layers of Z-axis sampling is increased; the problems of local defocus and form distortion caused by tissue beveling are effectively avoided, and the definition of the image and the interlayer registration precision are remarkably improved. In addition, a virtual vertical section reconstruction strategy is introduced, geometric deformation can be corrected in a three-dimensional voxel space, an observation view meeting a standard anatomical view angle is provided, and therefore interference of film production artifacts on diagnosis is eliminated. And through distinguishing the mucous membrane layer and the non-mucous membrane layer and applying a differentiated scanning strategy, while the data quality of a key region is improved, the scanning time and data redundancy of a non-diagnosis region are greatly reduced, dual optimization of scanning precision and efficiency is realized, and the accuracy and robustness of automatic recognition of digestive tract tumors are remarkably improved.
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