A machine learning approach for automated assessment of retinal vasculature in the oxygen induced retinopathy model

Preclinical studies of vascular retinal diseases rely on the assessment of developmental dystrophies in the oxygen induced retinopathy rodent model. The quantification of vessel tufts and avascular regions is typically computed manually from flat mounted retinas imaged using fluorescent probes that...

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Detalles Bibliográficos
Autores principales: Mazzaferri, Javier, Larrivée, Bruno, Cakir, Bertan, Sapieha, Przemyslaw, Costantino, Santiago
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2018
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5834630/
https://www.ncbi.nlm.nih.gov/pubmed/29500375
http://dx.doi.org/10.1038/s41598-018-22251-7

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5834630/
https://www.ncbi.nlm.nih.gov/pubmed/29500375
http://dx.doi.org/10.1038/s41598-018-22251-7

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