A Deep Learning Model for Screening Multiple Abnormal Findings in Ophthalmic Ultrasonography (With Video)

PURPOSE: The purpose of this study was to construct a deep learning system for rapidly and accurately screening retinal detachment (RD), vitreous detachment (VD), and vitreous hemorrhage (VH) in ophthalmic ultrasound in real time. METHODS: We used a deep convolutional neural network to develop a dee...

Descripción completa

Detalles Bibliográficos
Autores principales: Chen, Di, Yu, Yi, Zhou, Yiwen, Peng, Bin, Wang, Yujing, Hu, Shan, Tian, Miao, Wan, Shanshan, Gao, Yuelan, Wang, Ying, Yan, Yulin, Wu, Lianlian, Yao, LiWen, Zheng, Biqing, Wang, Yang, Huang, Yuqing, Chen, Xi, Yu, Honggang, Yang, Yanning
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/PMC8083108/
https://www.ncbi.nlm.nih.gov/pubmed/34004002
http://dx.doi.org/10.1167/tvst.10.4.22

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8083108/
https://www.ncbi.nlm.nih.gov/pubmed/34004002
http://dx.doi.org/10.1167/tvst.10.4.22

Ejemplares similares