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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...
Autores principales: | Ma, Rui, Hao, Lili, Tao, Yudong, Mendoza, Ximena, Khodeiry, Mohamed, Liu, Yuan, Shyu, Mei-Ling, Lee, Richard K. |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Association for Research in Vision and Ophthalmology
2023
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Materias: | |
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 |
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