Supervised learning methods for the recognition of melanoma cell lines through the analysis of their Raman spectra-Reference-Cited by-同舟云学术

Supervised learning methods for the recognition of melanoma cell lines through the analysis of their Raman spectra

Published:2020-12-18 Issue:3 Volume:14 Page:202000365
ISSN:1864-063X
Container-title:Journal of Biophotonics
language:en
Short-container-title:J. Biophotonics

Author:

Baria Enrico¹²^ORCID,Cicchi Riccardo²³,Malentacchi Francesca⁴,Mancini Irene⁴,Pinzani Pamela⁴,Pazzagli Marco⁴,Pavone Francesco S.¹²³

Affiliation:

1. Department of Physics University of Florence Sesto Fiorentino Italy

2. European Laboratory for Non‐Linear Spectroscopy University of Florence Sesto Fiorentino Italy

3. National Institute of Optics National Research Council Florence Italy

4. Department of biomedical, experimental, and clinical sciences “Mario Serio” University of Florence Florence Italy

Funder

Ente Cassa di Risparmio di Firenze

Horizon 2020 Framework Programme

Publisher

Wiley

Subject

General Physics and Astronomy,General Engineering,General Biochemistry, Genetics and Molecular Biology,General Materials Science,General Chemistry

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/jbio.202000365

Reference25 articles.

1. American Cancer Society Cancer Facts & Figures2020 https://www.cancer.org/research/cancer‐facts‐statistics/all‐cancer‐facts‐figures/cancer‐facts‐figures‐2020.html

2. BRAF and NRAS mutations in melanoma: potential relationships to clinical response to HSP90 inhibitors

3. Skin Cancer Foundation Melanoma treatment https://www.skincancer.org/skin‐cancer‐information/melanoma/melanoma‐treatments2020.

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