# Diagnostic Accuracies of Laryngeal Diseases Using a Convolutional Neural Network‐Based Image Classification System

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/diagnostic-accuracies-of-laryngeal-diseases-using-a-convolutional-neural-network/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Won Ki Cho,Yeong Ju Lee,Hye Ah Joo,In Seong Jeong,Yeonjoo Choi,Soon Yuhl Nam,Sang Yoon Kim,Seung‐Ho Choi |
| Citations | 71 |
| DOI | 10.1002/lary.29595 |
| Fields | Health Professions,Medicine |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W3160512754 |
| PMID | 34000069 |
| Type | article |
| Year | 2021 |

## Paper authors

- [Yeonjoo Choi](https://scholariq.org/researchers/yeonjoo-choi/)
- [Hye Ah Joo](https://scholariq.org/researchers/hye-ah-joo/)

## Paper journal

- [The Laryngoscope](https://scholariq.org/journals/the-laryngoscope/)

## Paper primary topic

- [Voice and Speech Disorders](https://scholariq.org/topics/voice-and-speech-disorders/)

## Paper topics

- [Voice and Speech Disorders](https://scholariq.org/topics/voice-and-speech-disorders/)
- [Head and Neck Cancer Studies](https://scholariq.org/topics/head-and-neck-cancer-studies/)
- [Dysphagia Assessment and Management](https://scholariq.org/topics/dysphagia-assessment-and-management/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.