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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...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2022
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| Materias: | |
| 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 |