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.
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)
Permanent URL
Recommended Citation
Romeo, Melissa J.; Mijkovic, Miloš; Emmadi, Rajyasree; and Diem, Max, "Optical Diagnosis of Cancer in Lymph Nodes and Thyroid Glands" (2006). Research Thrust R2 Presentations. Paper 32. http://hdl.handle.net/2047/d10008354
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COinS
Notes
Poster presented at the 2006 Thrust R2C Multi Spectral Discrimination Methods Conference