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Machine Learning and Cochlear Implantation—A Structured Review of Opportunities and Challenges

  • Published:2020-01 Issue:1 Volume:41 Page:e36-e45
  • ISSN:1531-7129
  • Container-title:Otology & Neurotology
  • language:en
  • Short-container-title:

Author:

Crowson Matthew G.,Lin Vincent,Chen Joseph M.,Chan Timothy C. Y.

Publisher

Ovid Technologies (Wolters Kluwer Health)

Subject

Neurology (clinical),Sensory Systems,Otorhinolaryngology

Reference41 articles.

1. Machine learning in medicine;Deo;Circulation,2015

2. Development and validation of a deep learning algorithm for detection of diabetic retinopathy in retinal fundus photographs;Gulshan;JAMA,2016

3. Dermatologist-level classification of skin cancer with deep neural networks;Esteva;Nature,2017

4. A contemporary review of machine learning in otolaryngology-head and neck surgery;Crowson;Laryngoscope,2019

5. A neural network model for optimizing vowel recognition by cochlear implant listeners;Chang;IEEE Trans Neural Syst Rehabil Eng,2001

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