Training generative adversarial networks for optical property mapping using synthetic image data

We demonstrate the training of a generative adversarial network (GAN) for the prediction of optical property maps (scattering and absorption) using spatial frequency domain imaging (SFDI) image data sets that are generated synthetically with a free open-source 3D modelling and rendering software, Bl...

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Detalles Bibliográficos
Autores principales: Osman, A., Crowley, J., Gordon, G. S. D
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Optica Publishing Group 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9664886/
https://www.ncbi.nlm.nih.gov/pubmed/36425623
http://dx.doi.org/10.1364/BOE.458554

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9664886/
https://www.ncbi.nlm.nih.gov/pubmed/36425623
http://dx.doi.org/10.1364/BOE.458554

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