Ignite Creation Date:
2024-05-06 @ 4:15 PM
Last Modification Date:
2024-10-26 @ 2:06 PM
Study NCT ID:
NCT04921020
Status:
RECRUITING
Last Update Posted:
2021-06-10
First Post:
2021-06-01
Brief Title:
Assessment of Eyelid Topology and Kinetics Based on Deep Learning Method
Sponsor:
Second Affiliated Hospital School of Medicine Zhejiang University
Organization:
Second Affiliated Hospital School of Medicine Zhejiang University
Study Overview
Official Title:
Department of Ophthalmology
Status:
RECRUITING
Status Verified Date:
2021-06
Last Known Status:
None
Delayed Posting:
No
If Stopped, Why?:
Not Stopped
Has Expanded Access:
False
If Expanded Access, NCT#:
N/A
Has Expanded Access, NCT# Status:
N/A
Acronym:
None
Brief 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
Detailed Description:
None
Study Oversight
Has Oversight DMC:
None
Is a FDA Regulated Drug?:
False
Is a FDA Regulated Device?:
False
Is an Unapproved Device?:
None
Is a PPSD?:
None
Is a US Export?:
None
Is an FDA AA801 Violation?:
None