Deep Learning and Simulation for the Estimation of Red Blood Cell Flux With Optical Coherence Tomography

We present a deep learning and simulation-based method to measure cortical capillary red blood cell (RBC) flux using Optical Coherence Tomography (OCT). This method is more accurate than the traditional peak-counting method and avoids any user parametrization, such as a threshold choice. We used dat...

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Detalles Bibliográficos
Autores principales: Stefan, Sabina, Kim, Anna, Marchand, Paul J., Lesage, Frederic, Lee, Jonghwan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Neuroscience
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8891630/
https://www.ncbi.nlm.nih.gov/pubmed/35250467
http://dx.doi.org/10.3389/fnins.2022.835773

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8891630/
https://www.ncbi.nlm.nih.gov/pubmed/35250467
http://dx.doi.org/10.3389/fnins.2022.835773

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