Comparison of manual and artificial intelligence-automated choroidal thickness segmentation of optical coherence tomography imaging in myopic adults

Comparison of manual and artificial intelligence-automated choroidal thickness segmentation of optical coherence tomography imaging in myopic adults

Background: Myopia affects 1.4 billion individuals worldwide. Notably, there is increasing evidence that choroidal thickness plays an important role in myopia and risk of developing myopia-related conditions. With the advancements in artificial intelligence (AI), choroidal thickness segmentation can...

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Bibliographic Details
Main Authors: Lim, Zhi Wei, Li, Jonathan, Wong, Damon, Chung, Joey, Toh, Angeline, Lee, Jia Ling, Lam, Crystal, Balakrishnan, Maithily, Chia, Audrey, Chua, Jacqueline, Girard, Michael, Hoang, Quan V., Chong, Rachel, Wong, Chee Wai, Saw, Seang Mei, Schmetterer, Leopold, Brennan, Noel, Ang, Marcus
Other Authors: School of Chemistry, Chemical Engineering and Biotechnology
Format: Journal Article
Language:English
Published: 2024
Subjects:
Medicine, Health and Life Sciences
Choroidal thickness
Myopia
Online Access:https://hdl.handle.net/10356/179693

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