Automatic Classification of Anterior Chamber Angle Using Ultrasound Biomicroscopy and Deep Learning

PURPOSE: To develop a software package for automated classification of anterior chamber angle of the eye by using ultrasound biomicroscopy. METHODS: Ultrasound biomicroscopy images were collected, and the trabecular-iris angle was manually measured and classified into three categories: open angle, n...

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Detalles Bibliográficos
Autores principales: Shi, Guohua, Jiang, Zhenying, Deng, Guohua, Liu, Guangxing, Zong, Yuan, Jiang, Chunhui, Chen, Qian, Lu, Yi, Sun, Xinhuai
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Association for Research in Vision and Ophthalmology 2019
Materias:
Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6703191/
https://www.ncbi.nlm.nih.gov/pubmed/31448182
http://dx.doi.org/10.1167/tvst.8.4.25

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6703191/
https://www.ncbi.nlm.nih.gov/pubmed/31448182
http://dx.doi.org/10.1167/tvst.8.4.25

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