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Feasibility of video-based real-time nystagmus tracking: a lightweight deep learning model approach using ocular object segmentation
Research article (Frontiers in Neurology, 2024) · cited 12× · AI/ML
Feasibility of video-based real-time nystagmus tracking: a lightweight deep learning model approach using ocular object segmentation
Summary
Feasibility of video-based real-time nystagmus tracking: a lightweight deep learning model approach using ocular object segmentation is a scholarly article[1].
Key Facts
Feasibility of video-based real-time nystagmus tracking: a lightweight deep learning model approach using ocular object segmentation's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). Feasibility of video-based real-time nystagmus tracking: a lightweight deep learning model approach using ocular object segmentation. Retrieved May 24, 2026, from https://4ort.xyz/entity/feasibility-of-video-based-real-time-nystagmus-tracking-a-lightweight-deep-learning-model-approach-using-ocular-object-s
MLA“Feasibility of video-based real-time nystagmus tracking: a lightweight deep learning model approach using ocular object segmentation.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/feasibility-of-video-based-real-time-nystagmus-tracking-a-lightweight-deep-learning-model-approach-using-ocular-object-s.
BibTeX@misc{4ortxyz_feasibility-of-video-based-real-time-nystagmus-tracking-a-lightweight-deep-learning-model-approach-using-ocular-object-s_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Feasibility of video-based real-time nystagmus tracking: a lightweight deep learning model approach using ocular object segmentation}}, year = {2026}, url = {https://4ort.xyz/entity/feasibility-of-video-based-real-time-nystagmus-tracking-a-lightweight-deep-learning-model-approach-using-ocular-object-s}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Feasibility of video-based real-time nystagmus tracking: a lightweight deep learning model approach using ocular object segmentation — https://4ort.xyz/entity/feasibility-of-video-based-real-time-nystagmus-tracking-a-lightweight-deep-learning-model-approach-using-ocular-object-s (retrieved 2026-05-24)
