Construction and value of a vestibular function calibration test recognition model based on dual-stream ViT and ConvNeXt architecture

Construction and value of a vestibular function calibration test recognition model based on dual-stream ViT and ConvNeXt architecture

ObjectiveTo improve the efficiency and accuracy of videonystagmography calibration test results while enabling effective recognition of saccadic undershoot waveform by developing a dual-stream architecture-based deep learning model. MethodsA vestibular function calibration test recognition model wit...

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Bibliographic Details
Main Authors: Xu LUO, Peixia WU, Weiming HAO, Yinhong QU, Han CHEN
Format: Article
Language:English
Published: Shanghai Chinese Clinical Medicine Press Co., Ltd. 2025-04-01
Series:Zhongguo Linchuang Yixue
Subjects:
vestibular function
calibration test
videonystagmography
deep learning model
Online Access:https://www.c-jcm.com/article/doi/10.12025/j.issn.1008-6358.2025.20250219
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https://www.c-jcm.com/article/doi/10.12025/j.issn.1008-6358.2025.20250219

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