Characterization and discrimination of basal cell carcinoma and normal human skin tissues using resonance Raman spectroscopy
Resource type
Authors/contributors
- Liu, C.-H. (Author)
- Wu, B. (Author)
- Boydston-White, S. (Author)
- Beckman, H. (Author)
- Sriramoju, V. (Author)
- Sordillo, L. (Author)
- Zhang, C. (Author)
- Smith, J. (Author)
- Zhang, L. (Author)
- Shi, L. (Author)
- Alfano, R.R. (Author)
Title
Characterization and discrimination of basal cell carcinoma and normal human skin tissues using resonance Raman spectroscopy
Abstract
Resonance Raman spectroscopy is used for rapid detection of skin BCC cancer. The cross-validated classification accuracy is achieved to be as high as 98% using nonnegative matrix factorization along with support vector machine statistical method. © OSA 2017.
Proceedings Title
Frontiers in Optics 2017
Publisher
OSA - The Optical Society
Date
2017
Volume
Part F66-FiO 2017
ISBN
9781557528209 (ISBN)
Citation Key
liuCharacterizationDiscriminationBasal2017
Archive
Scopus
Language
English
Extra
2 citations (Crossref) [2023-10-31]
Journal Abbreviation: Opt. InfoBase Conf. Pap
Citation
Liu, C.-H., Wu, B., Boydston-White, S., Beckman, H., Sriramoju, V., Sordillo, L., Zhang, C., Smith, J., Zhang, L., Shi, L., & Alfano, R. R. (2017). Characterization and discrimination of basal cell carcinoma and normal human skin tissues using resonance Raman spectroscopy. Frontiers in Optics 2017, Part F66-FiO 2017. Scopus. https://doi.org/10.1364/FIO.2017.JTu2A.72
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