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Related Experiment Video

Updated: Oct 10, 2025

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Multi-feature Multi-Scale CNN-Derived COVID-19 Classification from Lung Ultrasound Data.

Hui Che, Jared Radbel, Jag Sunderram

    Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
    |December 11, 2021
    PubMed
    Summary

    Lung ultrasound (LUS) offers a safe and effective alternative for diagnosing COVID-19. A deep learning model accurately classifies COVID-19 from LUS images, aiding clinical decisions.

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    Area of Science:

    • Medical Imaging
    • Artificial Intelligence
    • Infectious Diseases

    Background:

    • The COVID-19 pandemic strained healthcare systems globally.
    • Computed tomography (CT) and chest X-ray (CXR) are primary imaging tools but have limitations.
    • Limitations include transmission risk, radiation exposure, and cost-effectiveness.

    Purpose of the Study:

    • To evaluate lung ultrasound (LUS) as a viable alternative for COVID-19 diagnosis.
    • To develop and assess a deep learning model for COVID-19 classification using LUS data.
    • To explore image processing and feature fusion techniques for improved diagnostic accuracy.

    Main Methods:

    • Utilized local phase filtering and radial symmetry transformation on LUS images.
    • Employed a multi-scale residual convolutional neural network (CNN) for classification.
    • Investigated image combination and multi-level feature fusion strategies.

    Main Results:

    • The deep learning model demonstrated promising performance in COVID-19 prediction.
    • Evaluated on POCUS and ICLUS-DB datasets, showing effective classification capabilities.
    • Objective diagnostic information was generated for clinicians.

    Conclusions:

    • Lung ultrasound, enhanced by deep learning, provides a practical and accurate method for COVID-19 assessment.
    • The proposed multi-scale CNN with feature fusion shows potential for objective COVID-19 diagnosis.
    • LUS offers advantages over traditional methods like CT and CXR for COVID-19 screening.