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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...
Autores principales: | Stefan, Sabina, Kim, Anna, Marchand, Paul J., Lesage, Frederic, Lee, Jonghwan |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
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Materias: | |
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 |
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