Clinical Research Directory

Assessment of Eyelid Topology and Kinetics Based on Deep Learning Method

Sponsor: Second Affiliated Hospital, School of Medicine, Zhejiang University

Summary

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 to assess eyelid topology and kinetics.

Official title: Department of Ophthalmology

Key Details

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Interventions

Locations (1)