Machine learning to extract physiological parameters from multispectral diffuse reflectance spectroscopy

Significance: Physiological parameters extracted from diffuse reflectance spectroscopy (DRS) provide clinicians quantitative information about tissue that helps aid in diagnosis. There is a great need for an accurate and cost-effective method for extracting parameters from DRS measurements. Aim: The...

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Détails bibliographiques
Publié dans:J Biomed Opt
Auteurs principaux: Nguyen, Mayna H., Zhang, Yao, Wang, Frank, De La Garza Evia Linan, Jose, Markey, Mia K., Tunnell, James W.
Format: Artigo
Langue:Inglês
Publié: Society of Photo-Optical Instrumentation Engineers 2021
Sujets:
Special Series on Artificial Intelligence and Machine Learning in Biomedical Optics
Accès en ligne:https://ncbi.nlm.nih.gov/pmc/articles/PMC7969972/
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1117/1.JBO.26.5.052912
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