Automated Analysis of Choroidal Sublayer Morphologic Features in Myopic Children Using EDI-OCT by Deep Learning-Reference-Cited by-同舟云学术

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Automated Analysis of Choroidal Sublayer Morphologic Features in Myopic Children Using EDI-OCT by Deep Learning

Published:2021-11-09 Issue:13 Volume:10 Page:12
ISSN:2164-2591
Container-title:Translational Vision Science & Technology
language:en
Short-container-title:Trans. Vis. Sci. Tech.

Author:

Li Junmeng¹²,Zhu Lei²³,Zhu Ruilin¹,Lu Yanye²,Rong Xin¹,Zhang Yadi¹,Gu Xiaopeng¹,Wang Yuwei¹,Zhang Zhiyue¹,Ren Qiushi³,Rong Bei¹,Yang Liu¹

Affiliation:

1. Department of Ophthalmology, Peking University First Hospital, Beijing, China

2. Institute of Medical Technology, Peking University Health Science Center, Peking University, Beijing, China

3. Department of Biomedical Engineering, Peking University, Beijing, China

Publisher

Association for Research in Vision and Ophthalmology (ARVO)

Subject

Ophthalmology,Biomedical Engineering

Cited by 12 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. Choroidal Layer Analysis in OCT images via Ambiguous Boundary-aware Attention;Computers in Biology and Medicine;2024-06

2. Effect of spectacle lenses with aspherical lenslets on choroidal thickness in myopic children: a 3-year follow-up study;Eye and Vision;2024-04-25

3. Choroidal Vascularity Index and Choroidal Structural Changes in Children With Nephrotic Syndrome;Translational Vision Science & Technology;2024-03-21

4. Choroidal Optical Coherence Tomography Angiography: Noninvasive Choroidal Vessel Analysis via Deep Learning;Health Data Science;2024-01

5. Correlation between refractive errors and ocular biometric parameters in children and adolescents: a systematic review and meta-analysis;BMC Ophthalmology;2023-11-21

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