Department of Electrical and Computer Engineering, Indiana University-Purdue University Indianapolis (IUPUI), Indianapolis, USA
Department of Electrical and Computer Engineering and Integrated Nanosystems Development Institute (INDI), Indiana University- Purdue University Indianapolis IUPUI, Indianapolis, USA
Department of Electrical and Computer Engineering and Integrated Nanosystems Development Institute (INDI), Indiana University- Purdue University Indianapolis IUPUI, Indianapolis, USA
Department of Electrical and Computer Engineering and Integrated Nanosystems Development Institute (INDI), Indiana University- Purdue University Indianapolis IUPUI, Indianapolis, USA
Department of Electrical and Computer Engineering and Integrated Nanosystems Development Institute (INDI), Indiana University- Purdue University Indianapolis IUPUI, Indianapolis, USA
Copyright © 2012 Maher Rizkalla, Parvin Ghane, Mangilal Agarwal, Sudhir Shrestha, Kody Varahramyan et al. This is
an open access article distributed under the Creative Commons Attribution
License, which permits unrestricted use, distribution, and reproduction in any
medium, provided the original work is properly cited.
How to Cite this Article
Rizkalla, M. , Ghane, P. , Agarwal, M. , Shrestha, S. and Varahramyan, K. (2012) Raman spectroscopy for human cancer tissue diagnosis: A pattern recognition approach.
Journal of Biomedical Science and Engineering,
5, 892-900. doi:
10.4236/jbise.2012.512A113.