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Glioma tumors classified using visible resonance raman spectroscopy and machine learning
Resource type
Authors/contributors
- Wu, Binlin (Author)
- Zhou, Yan (Author)
- Zhang, Liang (Author)
- Zhang, Shengjia (Author)
- Yu, Xinguang (Author)
- Wang, Eric (Author)
- Zhu, Ke (Author)
- Liu, Cheng-hui (Author)
- Alfano, Robert R. (Author)
Title
Glioma tumors classified using visible resonance raman spectroscopy and machine learning
Abstract
Machine learning algorithms were used to classify and analyze spectral data collected by visible resonance Raman spectroscopy to distinguish normal human brain tissue and glioma tumor tissues at different grades and show promising results. © OSA 2020 © 2020 The Author(s)
Proceedings Title
Frontiers in Optics
Publisher
The Optical Society
Date
2020-09-14, September 2020
Citation Key
wuGliomaTumorsClassified2020
Language
English
Extra
0 citations (Crossref) [2023-10-31]
Citation
Wu, B., Zhou, Y., Zhang, L., Zhang, S., Yu, X., Wang, E., Zhu, K., Liu, C., & Alfano, R. R. (2020, September 14). Glioma tumors classified using visible resonance raman spectroscopy and machine learning. Frontiers in Optics. https://doi.org/10.1364/FIO.2020.JW6A.17
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