AxoNet: A deep learning-based tool to count retinal ganglion cell axons

In this work, we develop a robust, extensible tool to automatically and accurately count retinal ganglion cell axons in optic nerve (ON) tissue images from various animal models of glaucoma. We adapted deep learning to regress pixelwise axon count density estimates, which were then integrated over t...

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Veröffentlicht in:Sci Rep
Hauptverfasser: Ritch, Matthew D., Hannon, Bailey G., Read, A. Thomas, Feola, Andrew J., Cull, Grant A., Reynaud, Juan, Morrison, John C., Burgoyne, Claude F., Pardue, Machelle T., Ethier, C. Ross
Format: Artigo
Sprache:Inglês
Veröffentlicht: Nature Publishing Group UK 2020
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Article
Online Zugang:https://ncbi.nlm.nih.gov/pmc/articles/PMC7228952/
https://ncbi.nlm.nih.gov/pubmed/32415269
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41598-020-64898-1
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