Automated laryngeal mass detection algorithm for home-based self-screening test based on convolutional neural network.

Journal: Biomedical engineering online
PMID: 34034766

Abstract

BACKGROUND: Early detection of laryngeal masses without periodic visits to hospitals is essential for improving the possibility of full recovery and the long-term survival ratio after prompt treatment, as well as reducing the risk of clinical infection.

Authors

  • Gun Ho Kim
    Interdisciplinary Program in Biomedical Engineering, School of Medicine, Pusan National University, Yangsan, Korea.
  • Eui-Suk Sung
    Department of Otolaryngology-Head and Neck Surgery, Pusan National University Yangsan Hospital, Yangsan, South Korea. ch4oh@hanmail.net.
  • Kyoung Won Nam
    Research Institute for Convergence of Biomedical Science and Technology, Pusan National University Yangsan Hospital, Yangsan, Korea.

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