Dimensional reduction based on peak fitting of Raman micro spectroscopy data improves detection of prostate cancer in tissue specimens

Significance: Prostate cancer is the most common cancer among men. An accurate diagnosis of its severity at detection plays a major role in improving their survival. Recently, machine learning models using biomarkers identified from Raman micro-spectroscopy discriminated intraductal carcinoma of the...

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Detalles Bibliográficos
Autores principales: Plante, Arthur, Dallaire, Frédérick, Grosset, Andrée-Anne, Nguyen, Tien, Birlea, Mirela, Wong, Jahg, Daoust, François, Roy, Noémi, Kougioumoutzakis, André, Azzi, Feryel, Aubertin, Kelly, Kadoury, Samuel, Latour, Mathieu, Albadine, Roula, Prendeville, Susan, Boutros, Paul, Fraser, Michael, Bristow, Rob G., van der Kwast, Theodorus, Orain, Michèle, Brisson, Hervé, Benzerdjeb, Nazim, Hovington, Hélène, Bergeron, Alain, Fradet, Yves, Têtu, Bernard, Saad, Fred, Trudel, Dominique, Leblond, Frédéric
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Society of Photo-Optical Instrumentation Engineers 2021
Materias:
Microscopy
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8571651/
https://www.ncbi.nlm.nih.gov/pubmed/34743445
http://dx.doi.org/10.1117/1.JBO.26.11.116501

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8571651/
https://www.ncbi.nlm.nih.gov/pubmed/34743445
http://dx.doi.org/10.1117/1.JBO.26.11.116501

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