Cargando…
Application of a Deep Machine Learning Model for Automatic Measurement of EZ Width in SD-OCT Images of RP
PURPOSE: We applied a deep convolutional neural network model for automatic identification of ellipsoid zone (EZ) in spectral domain optical coherence tomography B-scans of retinitis pigmentosa (RP). METHODS: Midline B-scans having visible EZ from 220 patients with RP and 20 normal subjects were man...
Autores principales: | Wang, Yi-Zhong, Galles, Daniel, Klein, Martin, Locke, Kirsten G., Birch, David G. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Association for Research in Vision and Ophthalmology
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7395669/ https://www.ncbi.nlm.nih.gov/pubmed/32818077 http://dx.doi.org/10.1167/tvst.9.2.15 |
Ejemplares similares
-
Fast and Automated Hyperreflective Foci Segmentation Based on Image Enhancement and Improved 3D U-Net in SD-OCT Volumes with Diabetic Retinopathy
por: Xie, Sha, et al.
Publicado: (2020) -
Automatic montage of SD-OCT data sets
por: Li, Ying, et al.
Publicado: (2011) -
DeepRetina: Layer Segmentation of Retina in OCT Images Using Deep Learning
por: Li, Qiaoliang, et al.
Publicado: (2020) -
A Hybrid Model Composed of Two Convolutional Neural Networks (CNNs) for Automatic Retinal Layer Segmentation of OCT Images in Retinitis Pigmentosa (RP)
por: Wang, Yi-Zhong, et al.
Publicado: (2021) -
Deep Neural Network for Scleral Spur Detection in Anterior Segment OCT Images: The Chinese American Eye Study
por: Xu, Benjamin Y., et al.
Publicado: (2020)