Monte Carlo-based data generation for efficient deep learning reconstruction of macroscopic diffuse optical tomography and topography applications

SIGNIFICANCE: Deep learning (DL) models are being increasingly developed to map sensor data to the image domain directly. However, DL methodologies are data-driven and require large and diverse data sets to provide robust and accurate image formation performances. For research modalities such as 2D/...

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Detalles Bibliográficos
Autores principales: Nizam, Navid Ibtehaj, Ochoa, Marien, Smith, Jason T., Gao, Shan, Intes, Xavier
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/PMC9048385/
https://www.ncbi.nlm.nih.gov/pubmed/35484688
http://dx.doi.org/10.1117/1.JBO.27.8.083016

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9048385/
https://www.ncbi.nlm.nih.gov/pubmed/35484688
http://dx.doi.org/10.1117/1.JBO.27.8.083016

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