A Deep Learning System for Automatic Assessment of Anterior Chamber Angle in Ultrasound Biomicroscopy Images

PURPOSE: To develop and assess a deep learning system that automatically detects angle closure and quantitatively measures angle parameters from ultrasound biomicroscopy (UBM) images using a deep learning algorithm. METHODS: A total of 3788 UBM images (2146 open angle and 1642 angle closure) from 14...

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Detalles Bibliográficos
Autores principales: Wang, Wensai, Wang, Lingxiao, Wang, Xiaochun, Zhou, Sheng, Lin, Song, Yang, Jun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Association for Research in Vision and Ophthalmology 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8479575/
https://www.ncbi.nlm.nih.gov/pubmed/34570190
http://dx.doi.org/10.1167/tvst.10.11.21

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8479575/
https://www.ncbi.nlm.nih.gov/pubmed/34570190
http://dx.doi.org/10.1167/tvst.10.11.21

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