Deep learning-based image analysis for automated measurement of eyelid morphology before and after blepharoptosis surgery-Reference-Cited by-同舟云学术

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Deep learning-based image analysis for automated measurement of eyelid morphology before and after blepharoptosis surgery

Published:2021-01-01 Issue:1 Volume:53 Page:2278-2285
ISSN:0785-3890
Container-title:Annals of Medicine
language:en
Short-container-title:Annals of Medicine

Author:

Lou Lixia¹,Cao Jing¹^ORCID,Wang Yaqi²,Gao Zhiyuan¹,Jin Kai¹,Xu Zhaoyang³,Zhang Qianni⁴,Huang Xingru⁴,Ye Juan¹

Affiliation:

1. Department of Ophthalmology, School of Medicine, The Second Affiliated Hospital of Zhejiang University, Hangzhou, China

2. College of Media Engineering, Communication University of Zhejiang, Hangzhou, China

3. Wellcome-MRC Cambridge Stem Cell Institute, University of Cambridge, Cambridge, UK

4. School of Electronic Engineering and Computer Science, Queen Mary University of London, London, UK

Funder

National Natural Science Foundation of China

Zhejiang Provincial Key Research and Development Plan

National Key Research and Development Program of China

Publisher

Informa UK Limited

Subject

General Medicine

Link

https://www.tandfonline.com/doi/pdf/10.1080/07853890.2021.2009127

Reference30 articles.

1. Eyelid Reconstruction

2. Blepharoptosis repair

3. Margin Reflex Distance (MRD) 1, 2, and 3

4. Accuracy of Marginal Reflex Distance Measurements in Eyelid Surgery

5. Repeatability and reproducibility of upper eyelid measurements

Cited by 18 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Automatic Measurement and Comparison of Normal Eyelid Contour by Age and Gender Using Image-Based Deep Learning;Ophthalmology Science;2024-09

2. Global research of artificial intelligence in eyelid diseases: A bibliometric analysis;Heliyon;2024-07

3. Application of artificial intelligence in oculoplastics;Clinics in Dermatology;2024-05

4. Quantitative analysis of the eyelid curvature in patients with blepharoptosis;BMC Medical Imaging;2024-04-26

5. Development of a neural network-based automated eyelid measurement system;Scientific Reports;2024-01-12

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