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Objectification of Tongue Diagnosis in Traditional Medicine, Data Analysis, and Study Application
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A Multi-stage Segmentation Method for Tongue Ecchymosis.

Jingqiao Lu, Hong Chen

    Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
    |December 12, 2023
    PubMed
    Summary

    This study introduces a novel multi-stage method for segmenting tongue ecchymosis, a key indicator in Traditional Chinese Medicine (TCM) for blood stasis syndrome. The new approach improves accuracy and segmentation compared to existing techniques.

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    Area of Science:

    • Medical Imaging
    • Traditional Chinese Medicine
    • Computer Vision

    Background:

    • Tongue diagnosis is crucial in Traditional Chinese Medicine (TCM), with tongue ecchymosis being a primary indicator for blood stasis syndrome.
    • Current methods for segmenting tongue ecchymosis are often unsupervised and lack precision.
    • Accurate segmentation of tongue ecchymosis is essential for reliable TCM diagnosis.

    Purpose of the Study:

    • To develop an accurate and effective multi-stage method for segmenting tongue ecchymosis.
    • To combine machine learning and deep learning techniques for improved tongue ecchymosis segmentation.
    • To enhance the diagnostic capabilities for blood stasis syndrome in TCM.

    Main Methods:

    • A multi-stage segmentation approach combining object detection, unsupervised clustering, and watershed transform.
    • Utilizing an object detection model for initial localization of tongue ecchymosis.
    • Employing unsupervised clustering for rough segmentation and watershed transform for fine segmentation.

    Main Results:

    • The proposed method achieves more accurate segmentation of tongue ecchymosis compared to existing techniques.
    • Demonstrated a significant improvement in Intersection-over-Union (IoU) by 0.12 over the latest methods.
    • The segmented tongue ecchymoses closely resemble real-world observations.

    Conclusions:

    • The novel multi-stage segmentation method offers superior performance in identifying tongue ecchymosis.
    • This approach represents a significant advancement in the automated analysis of TCM diagnostic features.
    • Improved tongue ecchymosis segmentation has direct clinical relevance for diagnosing blood stasis syndrome in TCM.