Assessment of Eyelid Topology and Kinetics Based on Deep Learning Method

Recruiting Observational Study
Eyelid Diseases
No Placebo Group Every participant receives an active treatment — no one gets a placebo. Healthy Volunteers Welcome You do not need to have the condition being studied to take part. No Study Drug Researchers observe your health over time — no experimental treatment is given.
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At a Glance
Sex
Any
Study type
Observational
Participants needed
500 (estimated)
Sponsor
Second Affiliated Hospital, School of Medicine, Zhejiang University · Other
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About This Trial
This study plans to assess eyelid topology (such as margin reflex distance, eyelid contour, and corneal exposure area) and blinking (such as frequency, velocity, and duration), using deep learning method to automatically extract eyelid topological features, and to predict subtypes of levator function, using deep learning method to extract blinking features, in order to provide new ideas and means …
Trial Locations
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Eligibility Criteria
Inclusion Criteria: 1. normal volunteers without eyelid diseases 2. patients with blepharoptosis 3. patients with blepharospasm 4. patients with dry eye disease 5. patients with Graves' disease Exclusion Criteria: variable ptosis (e.g., myasthenia gravis), entropion, ectropion, enophthalmos, exop…
Contacts

Juan Ye

+86-571-87783897

yejuan@zju.edu.cn

CONTACT

Lixia Lou

+86-15088681589

loulixia110@zju.edu.cn

CONTACT