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

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
  6. Richards-Kortum R, Lorenzoni C, Bagnato V, Schmeler K. Optical imaging for screening and early cancer diagnosis in low-resource settings. Nature Reviews Bioengineering 2023;2(1):25 View
  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
  8. Lee M, Yu M, Morse E, Rameau A. Validation of a Low-Cost Method for Recording and Supervising Otolaryngology Trainee Endoscopies. Journal of Voice 2024 View
  9. Tsung C, Tsou Y, Liza R. Constructing an IOT-based assistant service for recognizing vocal cord diseases. Internet of Things 2025;29:101424 View