Breast cancer pathological image tissue sketching method, aging accelerated typing method and device

By sorting and outlining breast cancer pathological images, the problems of large workload and strong subjectivity in the diagnosis process of various stained pathological images in the prior art are solved, and more efficient and accurate pathological image analysis and diagnostic assistance are achieved.

CN119722571APending Publication Date: 2025-03-28SUN YAT SEN UNIVERSITY CANCER CENTER (CANCER HOSPITAL AFFILIATED TO SUN YAT SEN UNIVERSITY CANCER RESEARCH INSTITUTE OF SUN YAT SEN UNIVERSITY) +1
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Patent Information

Application Number
CN202411573310.2
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-11-05
Publication Date
2025-03-28

AI Technical Summary

Technical Problem

The prior art uses a variety of stained pathological images in clinical diagnosis, which increases the workload of doctors and depends on the doctor's clinical experience, and has the disadvantages of strong subjectivity, low accuracy, and poor repeatability.

Method used

A method for drawing tissues of breast cancer pathological images is provided. By obtaining the pathological images to be drawn, cutting them into multiple areas to be drawn, inputting the pathological image tissue classification model, obtaining tissue classification results, and staining according to the type to generate tissue outline results.

Benefits of technology

It reduces the subjective assumptions of artificial outlines, provides intuitive visual results, reduces the burden on pathologists, and provides a basis for subsequent quantitative spatial organization characteristics and clinically assisted decision-making.

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Abstract

The invention discloses a breast cancer pathological image tissue sketching method and device, an aging acceleration typing method and device and a storage medium, and the method comprises the steps: obtaining a to-be-sketched pathological image, cutting the obtained to-be-sketched pathological image, and obtaining a plurality of to-be-sketched region images; inputting the plurality of to-be-delineated area images into a pathological image tissue classification model to obtain tissue classification results of the plurality of to-be-delineated area images, the tissue classification results comprising tissue types to which the plurality of to-be-delineated areas belong, the tissue type comprises at least one of fat, epithelium, lymphocyte, collagenous fiber, myofibroblast, necrosis, matrix and tumor; and combining the plurality of to-be-sketched area images according to positions, and dyeing the plurality of to-be-sketched areas according to tissue types to obtain a tissue sketching result of the to-be-sketched pathological image. According to the invention, auxiliary information can be provided for clinicians, and the efficiency and accuracy of manual interpretation are improved.
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