A multimodal machine learning framework for diagnosis of otitis media with effusion using 3D wideband acoustic immittance

Tariq Rahim, Fei Zhao

    Research output: Contribution to conference › Paper › peer-review

    2 Downloads (Pure)
    Original languageEnglish
    DOIs
    Publication statusPublished - 10 Jan 2025
    Event2025 IEEE 22nd Consumer Communications & Networking Conference (CCNC) - Las Vegas, U.S.
    Duration: 10 Jan 2025 → 13 Jan 2025

    Conference

    Conference2025 IEEE 22nd Consumer Communications & Networking Conference (CCNC)
    Period10/01/25 → 13/01/25

    Bibliographical note

    Note: Published in: 2025 IEEE 22nd Consumer Communications & Networking Conference (CCNC), Piscataway, U.S. : Institute of Electrical and Electronics Engineers, Inc, ISSN 2331-9852 ISBN 9798331508067. This work was supported by Kingston University London, United Kingdom.

    Organising Body: Institute of Electrical and Electronics Engineers

    Keywords

    • Computer science and informatics

    Access to Document

      • 1 Conference contribution

      • A multimodal machine learning framework for diagnosis of otitis media with effusion using 3D wideband acoustic immittance

        Rahim, T. & Zhao, F., 10 Jan 2025, Published in: 2025 IEEE 22nd Consumer Communications & Networking Conference (CCNC), Piscataway, U.S. : Institute of Electrical and Electronics Engineers, Inc, ISSN 2331-9852 ISBN 9798331508067. This work was supported by Kingston University London, United Kingdom. Organising Body: Institute of Electrical and Electronics Engineers Organising Body: Institute of Electrical and Electronics Engineers.

        Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

        Open Access
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