Comparison of preprocessing techniques to reduce nontissue-related variations in hyperspectral reflectance imaging

SIGNIFICANCE: Hyperspectral reflectance imaging can be used in medicine to identify tissue types, such as tumor tissue. Tissue classification algorithms are developed based on, e.g., machine learning or principle component analysis. For the development of these algorithms, data are generally preproc...

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Detalles Bibliográficos
Autores principales: Witteveen, Mark, Sterenborg, Henricus J. C. M., van Leeuwen, Ton G., Aalders, Maurice C. G., Ruers, Theo J. M., Post, Anouk L.
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/PMC9541333/
https://www.ncbi.nlm.nih.gov/pubmed/36207772
http://dx.doi.org/10.1117/1.JBO.27.10.106003

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9541333/
https://www.ncbi.nlm.nih.gov/pubmed/36207772
http://dx.doi.org/10.1117/1.JBO.27.10.106003

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