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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...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2018
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| Materias: | |
| 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 |