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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Udgivet i:Sci Rep
Main Authors: 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
Sprog:Inglês
Udgivet: Nature Publishing Group UK 2020
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Article
Online adgang: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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