Feasibility of video-based real-time nystagmus tracking: a lightweight deep learning model approach using ocular object segmentation

Feasibility of video-based real-time nystagmus tracking: a lightweight deep learning model approach using ocular object segmentation

BackgroundEye movement tests remain significantly underutilized in emergency departments and primary healthcare units, despite their superior diagnostic sensitivity compared to neuroimaging modalities for the differential diagnosis of acute vertigo. This underutilization may be attributed to a poten...

Full description

Bibliographic Details
Main Authors: Changje Cho, Sejik Park, Sunmi Ma, Hyo-Jeong Lee, Eun-Cheon Lim, Sung Kwang Hong
Format: Article
Language:English
Published: Frontiers Media S.A. 2024-02-01
Series:Frontiers in Neurology
Subjects:
vertigo
artificial intelligence (AI)
CDSS
nystagmus
feasibilities studies
segmentation
Online Access:https://www.frontiersin.org/articles/10.3389/fneur.2024.1342108/full

Similar Items

Similar Items