Cargando…
Automatic detection of retinal regions using fully convolutional networks for diagnosis of abnormal maculae in optical coherence tomography images
In conventional retinal region detection methods for optical coherence tomography (OCT) images, many parameters need to be set manually, which is often detrimental to their generalizability. We present a scheme to detect retinal regions based on fully convolutional networks (FCN) for automatic diagn...
Autores principales: | Sun, Zhongyang, Sun, Yankui |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Society of Photo-Optical Instrumentation Engineers
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6992962/ https://www.ncbi.nlm.nih.gov/pubmed/31111697 http://dx.doi.org/10.1117/1.JBO.24.5.056003 |
Ejemplares similares
-
Automatic Annotation of Retinal Layers in Optical Coherence Tomography Images
por: Dodo, Bashir Isa, et al.
Publicado: (2019) -
Automatic diagnosis of macular diseases from OCT volume based on its two-dimensional feature map and convolutional neural network with attention mechanism
por: Sun, Yankui, et al.
Publicado: (2020) -
Fully automatic three-dimensional visualization of intravascular optical coherence tomography images: methods and feasibility in vivo
por: Ughi, Giovanni J, et al.
Publicado: (2012) -
SPECTRAL DOMAIN OPTICAL COHERENCE TOMOGRAPHY FINDINGS IN MACULA-INVOLVING CYTOMEGALOVIRUS RETINITIS
por: Gupta, Mrinali P., et al.
Publicado: (2018) -
Optical coherence tomography predicts visual outcome in macula-involving rhegmatogenous retinal detachment
por: Cho, Minhee, et al.
Publicado: (2012)