From 2 dimensions to 3rd dimension: Quantitative prediction of anterior chamber depth from anterior segment photographs via deep-learning

Anterior chamber depth (ACD) is a major risk factor of angle closure disease, and has been used in angle closure screening in various populations. However, ACD is measured from ocular biometer or anterior segment optical coherence tomography (AS-OCT), which are costly and may not be readily availabl...

Full description

Bibliographic Details
Main Authors:	Zhi Da Soh, Yixing Jiang, Sakthi Selvam S/O Ganesan, Menghan Zhou, Monisha Nongiur, Shivani Majithia, Yih Chung Tham, Tyler Hyungtaek Rim, Chaoxu Qian, Victor Koh, Tin Aung, Tien Yin Wong, Xinxing Xu, Yong Liu, Ching-Yu Cheng
Format:	Article
Language:	English
Published:	Public Library of Science (PLoS) 2023-02-01
Series:	PLOS Digital Health
Online Access:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9931242/?tool=EBI

From 2 dimensions to 3rd dimension: Quantitative prediction of anterior chamber depth from anterior segment photographs via deep-learning. by Zhi Da Soh, Yixing Jiang, Sakthi Selvam S/O Ganesan, Menghan Zhou, Monisha Nongiur, Shivani Majithia, Yih Chung Tham, Tyler Hyungtaek Rim, Chaoxu Qian, Victor Koh, Tin Aung, Tien Yin Wong, Xinxing Xu, Yong Liu, Ching-Yu Cheng

Published 2023-02-01

Get full text

Article

From 2 dimensions to 3rd dimension: Quantitative prediction of anterior chamber depth from anterior segment photographs via deep-learning

Similar Items