This paper is in the following e-collection/theme issue:

mHealth in a Clinical Setting (615) mHealth for Telemedicine and Homecare (399) Development of Novel Medical Devices and Innovations for Existing Devices (80) Imaging Informatics (193) Mobile Health (mhealth) (2939)

Published on in Vol 9, No 6 (2021): June

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/25816, first published .
A Portable Smartphone-Based Laryngoscope System for High-Speed Vocal Cord Imaging of Patients With Throat Disorders: Instrument Validation Study

A Portable Smartphone-Based Laryngoscope System for High-Speed Vocal Cord Imaging of Patients With Throat Disorders: Instrument Validation Study

A Portable Smartphone-Based Laryngoscope System for High-Speed Vocal Cord Imaging of Patients With Throat Disorders: Instrument Validation Study

Authors of this article:

Youngkyu Kim1, 2 Author Orcid Image ;   Jeongmin Oh1 Author Orcid Image ;   Seung-Ho Choi3 Author Orcid Image ;   Ahra Jung4 Author Orcid Image ;   June-Goo Lee1, 2 Author Orcid Image ;   Yoon Se Lee3 Author Orcid Image ;   Jun Ki Kim1, 2 Author Orcid Image
Article Authors Cited by (7) Tweetations (9) Metrics

Journals

  1. Huang Z, Miao J, Song H, Yang S, Zhong Y, Xu Q, Tan Y, Wen C, Guo J. A novel tongue segmentation method based on improved U-Net. Neurocomputing 2022;500:73 View
  2. Kim Y, Choi W, Oh J, Kim J. Compact Smartphone-Based Laser Speckle Contrast Imaging Endoscope Device for Point-of-Care Blood Flow Monitoring. Biosensors 2022;12(6):398 View
  3. Ge Y, Jin K, Wang Y, Xu Y, Lu H, Ye J, Oishi A. High-Resolution Ex-Vivo Imaging of Retina with a Laptop-Based Portable Endoscope. Journal of Ophthalmology 2022;2022:1 View
  4. Kim Y, Choi W, Oh J, Lee K, Kim J. Smartphone-Based Rigid Endoscopy Device with Hemodynamic Response Imaging and Laser Speckle Contrast Imaging. Biosensors 2023;13(8):816 View
  5. Mitchaï P, Mapinduzi J, Verbrugghe J, Michiels S, Janssens L, Kossi O, Bonnechère B, Timmermans A. Mobile technologies for rehabilitation in non-specific spinal disorders: a systematic review of the efficacy and potential for implementation in low- and middle-income countries. European Spine Journal 2023;32(12):4077 View
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  7. LI X, SHENG Q, ZHOU G, WEI J, SHI Y, ZHAO Z, LI Y, LI X, LIU Y. Pool-Unet: A Novel Tongue Image Segmentation Method Based on Pool-Former and Multi-Task Mask Learning. IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences 2024;E107.A(10):1609 View