Deep Learning-based Quantification of Anterior Segment OCT Parameters

OBJECTIVE: To develop and validate a deep learning algorithm that could automate the annotation of scleral spur (SS) and segmentation of anterior chamber (AC) structures for measurements of AC, iris, and angle width parameters in anterior segment OCT (ASOCT) scans. DESIGN: Cross-sectional study. SUB...

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Detalles Bibliográficos
Autores principales: Soh, Zhi Da, Tan, Mingrui, Nongpiur, Monisha Esther, Yu, Marco, Qian, Chaoxu, Tham, Yih Chung, Koh, Victor, Aung, Tin, Xu, Xinxing, Liu, Yong, Cheng, Ching-Yu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Original Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10587633/
https://www.ncbi.nlm.nih.gov/pubmed/37869016
http://dx.doi.org/10.1016/j.xops.2023.100360

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10587633/
https://www.ncbi.nlm.nih.gov/pubmed/37869016
http://dx.doi.org/10.1016/j.xops.2023.100360

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