Abstract

The combination of IR Microspectroscopy (IR-MSP) with multivariate data analysis such as hierarchical cluster analysis (HCA) and artificial neural networks (ANN) is a powerful tool for the detection and diagnosis of cancer and disease in tissues and cells. The rapid and objective approach of these methodologies offers the potential of ""real-time"" results in the operating room.

Notes

Poster presented at the 2006 Thrust R2C Multi Spectral Discrimination Methods Conference

Keywords

Cancer, Lymph, thryoid, HCA, Microspectroscopy

Subject Categories

Luminescence spectroscopy, Cancer--Diagnosis

Disciplines

Biomedical Engineering and Bioengineering

Publisher

Bernard M. Gordon Center for Subsurface Sensing and Imaging Systems (Gordon-CenSSIS)

Publication Date

2006

Rights Holder

Bernard M. Gordon Center for Subsurface Sensing and Imaging Systems (Gordon-CenSSIS)



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