Automated Recognition of Retinal Pigment Epithelium Cells on Limited Training Samples Using Neural Networks

PURPOSE: To develop a neural network (NN)–based approach, with limited training resources, that identifies and counts the number of retinal pigment epithelium (RPE) cells in confocal microscopy images obtained from cell culture or mice RPE/choroid flat-mounts. METHODS: Training and testing dataset c...

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Detalles Bibliográficos
Autores principales: Gao, Qitong, Xu, Ying, Amason, Joshua, Loksztejn, Anna, Cousins, Scott, Pajic, Miroslav, Hadziahmetovic, Majda
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/PMC7414692/
https://www.ncbi.nlm.nih.gov/pubmed/32832204
http://dx.doi.org/10.1167/tvst.9.2.31

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7414692/
https://www.ncbi.nlm.nih.gov/pubmed/32832204
http://dx.doi.org/10.1167/tvst.9.2.31

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