RGC-Net: An Automatic Reconstruction and Quantification Algorithm for Retinal Ganglion Cells Based on Deep Learning

PURPOSE: The purpose of this study was to develop a deep learning-based fully automated reconstruction and quantification algorithm which automatically delineates the neurites and somas of retinal ganglion cells (RGCs). METHODS: We trained a deep learning-based multi-task image segmentation model, R...

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Detalles Bibliográficos
Autores principales: Ma, Rui, Hao, Lili, Tao, Yudong, Mendoza, Ximena, Khodeiry, Mohamed, Liu, Yuan, Shyu, Mei-Ling, Lee, Richard K.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Association for Research in Vision and Ophthalmology 2023
Materias:
Glaucoma
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10166122/
https://www.ncbi.nlm.nih.gov/pubmed/37140906
http://dx.doi.org/10.1167/tvst.12.5.7

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10166122/
https://www.ncbi.nlm.nih.gov/pubmed/37140906
http://dx.doi.org/10.1167/tvst.12.5.7

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