Machine Learning of Raman Spectroscopy Data for Classifying Cancers: A Review of the Recent Literature

Raman Spectroscopy has long been anticipated to augment clinical decision making, such as classifying oncological samples. Unfortunately, the complexity of Raman data has thus far inhibited their routine use in clinical settings. Traditional machine learning models have been used to help exploit thi...

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Detalles Bibliográficos
Autores principales: Blake, Nathan, Gaifulina, Riana, Griffin, Lewis D., Bell, Ian M., Thomas, Geraint M. H.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Review
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9222091/
https://www.ncbi.nlm.nih.gov/pubmed/35741300
http://dx.doi.org/10.3390/diagnostics12061491

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9222091/
https://www.ncbi.nlm.nih.gov/pubmed/35741300
http://dx.doi.org/10.3390/diagnostics12061491

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