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Application of artificial intelligence using a convolutional neural network for detecting cholesteatoma in endoscopic enhanced images

  • Published:2022-02 Issue:1 Volume:49 Page:11-17
  • ISSN:0385-8146
  • Container-title:Auris Nasus Larynx
  • language:en
  • Short-container-title:Auris Nasus Larynx

Author:

Miwa Toru,Minoda Ryosei,Yamaguchi Tomoya,Kita Shin-ichiro,Osaka Kazuto,Takeda Hiroki,Kanemaru Shin-ichi,Omori Koichi

Publisher

Elsevier BV

Subject

General Medicine,Otorhinolaryngology,Surgery

Reference20 articles.

1. Risk factors of recurrence in pediatric congenital cholesteatoma;Morita;Otol Neurotol,2017

2. The investigation of the recurrence rate of cholesteatoma using Kaplan–Meier survival analysis;Mishiro;Otol Neurotol,2008

3. Transcanal endoscopic ear surgery for congenital cholesteatoma: a preliminary report;Sun;Arch Otorhinolaryngol Neck Surg,2017

4. Endoscopic exclusive transcanal approach to the tympanic cavity cholesteatoma in pediatric patients: our experience;Marchioni;Int J Pediatr Otorhinolaryngol,2015

5. Principles of endoscopic ear surgery;Tarabichi;Curr Opin Otolaryngol Head Neck Surg,2016
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