A Novel Automatic Morphologic Analysis of Eyelids Based on Deep Learning Methods
Author:
Affiliation:
1. Department of Ophthalmology, The Second Affiliated Hospital of Zhejiang University, College of Medicine, Hangzhou, Zhejiang, China
2. Department of Technology, Hangzhou Truth Medical Technology Ltd, Hangzhou, Zhejiang, China
Funder
Zhejiang Provincial Key Research and Development Plan
National Natural Science Foundation of China
Publisher
Informa UK Limited
Subject
Cellular and Molecular Neuroscience,Sensory Systems,Ophthalmology
Link
https://www.tandfonline.com/doi/pdf/10.1080/02713683.2021.1908569
Reference27 articles.
1. Eyelid Pressure: Inferences From Corneal Topographic Changes
2. Margin Reflex Distance (MRD) 1, 2, and 3
3. Topographic analysis of eyelid position using digital image processing software
4. Repeatability and reproducibility of upper eyelid measurements
5. Incidence of Lower Eyelid Asymmetry
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