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Framework for denoising Monte Carlo photon transport simulations using deep learning

SIGNIFICANCE: The Monte Carlo (MC) method is widely used as the gold-standard for modeling light propagation inside turbid media, such as human tissues, but combating its inherent stochastic noise requires one to simulate a large number photons, resulting in high computational burdens. AIM: We aim t...

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Detalles Bibliográficos
Autores principales:	Raayai Ardakani, Matin, Yu, Leiming, Kaeli, David R., Fang, Qianqian
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Society of Photo-Optical Instrumentation Engineers 2022
Materias:	Special Section Celebrating 30 Years of Open Source Monte Carlo Codes in Biomedical Optics
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9130925/ https://www.ncbi.nlm.nih.gov/pubmed/35614533 http://dx.doi.org/10.1117/1.JBO.27.8.083019

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