Machine learning algorithm ensembles for early oral cancer risk assessment using Raman cyto-spectroscopy
Author:
Publisher
Springer Science and Business Media LLC
Subject
Geometry and Topology,Theoretical Computer Science,Software
Link
https://link.springer.com/content/pdf/10.1007/s00500-023-08995-z.pdf
Reference48 articles.
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3. Auner GW et al (2018) Applications of Raman spectroscopy in cancer diagnosis. Cancer Metastasis Rev 37(4):691–717. https://doi.org/10.1007/s10555-018-9770-9
4. Banaei N et al (2019) Machine learning algorithms enhance the specificity of cancer biomarker detection using SERS-based immunoassays in microfluidic chips. RSC Adv 9(4):1859–1868. https://doi.org/10.1039/C8RA08930B
5. Burda Z et al (2004) ‘Signal and noise in correlation matrix’. Phys A Stat Mech Appl 343(C):295–310. Available at: https://econpapers.repec.org/RePEc:eee:phsmap:v:343:y:2004:i:c:p:295-310
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