RETRACTED: A Deep Learning Model for Three-Dimensional Nystagmus Detection and Its Preliminary Application

Lu, Wen; Li, Zhuangzhuang; Li, Yini; Li, Jie; Chen, Zhengnong; Feng, Yanmei; Wang, Hui; Luo, Qiong; Wang, Yiqing; Pan, Jun; Gu, Lingyun; Yu, Dongzhen; Zhang, Yudong; Shi, Haibo; Yin, Shankai

doi:10.3389/fnins.2022.930028

ORIGINAL RESEARCH article

Front. Neurosci., 13 June 2022

Sec. Perception Science

Volume 16 - 2022 | https://doi.org/10.3389/fnins.2022.930028

This article is part of the Research TopicChallenges and Current Research Status of Vertigo/Vestibular DiseasesView all 39 articles

RETRACTED: A Deep Learning Model for Three-Dimensional Nystagmus Detection and Its Preliminary Application

Retracted

A retraction of this article was approved in:

Retraction: A deep learning model for three-dimensional nystagmus detection and its preliminary application
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Wen Lu^1†

Zhuangzhuang Li^1†

Yini Li^1†

Jie Li¹

Zhengnong Chen¹

Yanmei Feng¹

Hui Wang¹

Qiong Luo¹

Yiqing Wang²

Jun Pan²

Lingyun Gu²

Dongzhen Yu^1*

Yudong Zhang^3*

Haibo Shi^1*

Shankai Yin¹

¹Department of Otolaryngology—Head and Neck Surgery, Shanghai Jiao Tong University Affiliated Sixth People’s Hospital, Shanghai, China
²IceKredit Inc., Shanghai, China
³School of Computing and Mathematical Sciences, University of Leicester, Leicester, United Kingdom

This article has been retracted. Please follow the link to the full retraction notice for details.

Citation: Lu W, Li Z, Li Y, Li J, Chen Z, Feng Y, Wang H, Luo Q, Wang Y, Pan J, Gu L, Yu D, Zhang Y, Shi H and Yin S (2022) A Deep Learning Model for Three-Dimensional Nystagmus Detection and Its Preliminary Application. Front. Neurosci. 16:930028. doi: 10.3389/fnins.2022.930028

Received: 27 April 2022; Accepted: 13 May 2022;
Published: 13 June 2022; Retracted: 28 December 2023.

Edited by:

Su-Lin Zhang, Huazhong University of Science and Technology, China

Reviewed by:

Dimas Lima, Federal University of Santa Catarina, Brazil
Mackenzie S. Brown, Edith Cowan University, Australia

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RETRACTED: A Deep Learning Model for Three-Dimensional Nystagmus Detection and Its Preliminary Application

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