DeepRetina: Layer Segmentation of Retina in OCT Images Using Deep Learning

PURPOSE: To automate the segmentation of retinal layers, we propose DeepRetina, a method based on deep neural networks. METHODS: DeepRetina uses the improved Xception65 to extract and learn the characteristics of retinal layers. The Xception65-extracted feature maps are inputted to an atrous spatial...

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Detalles Bibliográficos
Autores principales: Li, Qiaoliang, Li, Shiyu, He, Zhuoying, Guan, Huimin, Chen, Runmin, Xu, Ying, Wang, Tao, Qi, Suwen, Mei, Jun, Wang, Wei
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/PMC7726589/
https://www.ncbi.nlm.nih.gov/pubmed/33329940
http://dx.doi.org/10.1167/tvst.9.2.61

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7726589/
https://www.ncbi.nlm.nih.gov/pubmed/33329940
http://dx.doi.org/10.1167/tvst.9.2.61

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