A Deep Learning–Based Fully Automated Program for Choroidal Structure Analysis Within the Region of Interest in Myopic Children-Reference-Cited by-同舟云学术

A Deep Learning–Based Fully Automated Program for Choroidal Structure Analysis Within the Region of Interest in Myopic Children

Published:2023-03-22 Issue:3 Volume:12 Page:22
ISSN:2164-2591
Container-title:Translational Vision Science & Technology
language:en
Short-container-title:Trans. Vis. Sci. Tech.

Author:

Xuan Meng¹,Wang Wei¹,Shi Danli¹²,Tong James³⁴,Zhu Zhuoting¹²,Jiang Yu¹,Ge Zongyuan³⁴,Zhang Jian¹,Bulloch Gabriella²⁵,Peng Guankai⁶,Meng Wei⁶,Li Cong¹,Xiong Ruilin¹,Yuan Yixiong¹,He Mingguang¹²⁷

Affiliation:

1. State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-Sen University, Guangdong Provincial Key Laboratory of Ophthalmology and Visual Science, Guangdong Provincial Clinical Research Center for Ocular Diseases, Guangzhou, China

2. Centre for Eye Research Australia, Royal Victorian Eye and Ear Hospital, East Melbourne, Victoria, Australia

3. Monash e-Research Centre, Monash University, Melbourne, Victoria, Australia

4. Monash Medical AI Group, Monash University, Melbourne, Victoria, Australia

5. Faculty of Science, Medicine and Health, University of Melbourne, Melbourne, Victoria, Australia

6. Guangzhou Vision Tech Medical Technology Co., Ltd., Guangzhou, China

7. Ophthalmology, Department of Surgery, University of Melbourne, Melbourne, Victoria, Australia

Publisher

Association for Research in Vision and Ophthalmology (ARVO)

Subject

Ophthalmology,Biomedical Engineering

Reference74 articles.

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