Automated Segmentation of Retinal Fluid Volumes From Structural and Angiographic Optical Coherence Tomography Using Deep Learning

PURPOSE: We proposed a deep convolutional neural network (CNN), named Retinal Fluid Segmentation Network (ReF-Net), to segment retinal fluid in diabetic macular edema (DME) in optical coherence tomography (OCT) volumes. METHODS: The 3- × 3-mm OCT scans were acquired on one eye by a 70-kHz OCT commer...

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Detalles Bibliográficos
Autores principales: Guo, Yukun, Hormel, Tristan T., Xiong, Honglian, Wang, Jie, Hwang, Thomas S., Jia, Yali
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Association for Research in Vision and Ophthalmology 2020
Materias:
Special Issue
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7552937/
https://www.ncbi.nlm.nih.gov/pubmed/33110708
http://dx.doi.org/10.1167/tvst.9.2.54

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7552937/
https://www.ncbi.nlm.nih.gov/pubmed/33110708
http://dx.doi.org/10.1167/tvst.9.2.54

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