Multispectral snapshot imaging of skin microcirculatory hemoglobin oxygen saturation using artificial neural networks trained on in vivo data

SIGNIFICANCE: Developing algorithms for estimating blood oxygenation from snapshot multispectral imaging (MSI) data is challenging due to the complexity of sensor characteristics and photon transport modeling in tissue. We circumvent this using a method where artificial neural networks (ANNs) are tr...

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Detalles Bibliográficos
Autores principales: Ewerlöf, Maria, Strömberg, Tomas, Larsson, Marcus, Salerud, E. Göran
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Society of Photo-Optical Instrumentation Engineers 2022
Materias:
Imaging
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8957373/
https://www.ncbi.nlm.nih.gov/pubmed/35340134
http://dx.doi.org/10.1117/1.JBO.27.3.036004

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8957373/
https://www.ncbi.nlm.nih.gov/pubmed/35340134
http://dx.doi.org/10.1117/1.JBO.27.3.036004

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