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...

Descripción completa

Guardado en:
Detalles Bibliográficos
Publicado en:Sci Rep
Autores principales: 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
Formato: Artigo
Lenguaje:Inglês
Publicado: Nature Publishing Group UK 2020
Materias:
Article
Acceso en línea: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
Etiquetas: Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares