Anatomy-Based Algorithms for Detecting Oral Cancer Using Reflectance and Fluorescence Spectroscopy

Anatomy-Based Algorithms for Detecting Oral Cancer Using Reflectance and Fluorescence Spectroscopy

OBJECTIVES: We used reflectance and fluorescence spectroscopy to noninvasively and quantitatively distinguish benign from dysplastic/malignant oral lesions. We designed diagnostic algorithms to account for differences in the spectral properties among anatomic sites (gingiva, buccal mucosa, etc). MET...

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Bibliographic Details
Main Authors: McGee, Sasha (Contributor), Mardirossian, Vartan (Author), Elackattu, Alphi (Author), Mirkovic, Jelena (Contributor), Pistey, Robert (Author), Gallagher, George (Author), Kabani, Sadru (Author), Yu, Chung-Chieh (Contributor), Wang, Zimmern (Author), Badizadegan, Kamran (Contributor), Grillone, Gregory (Author), Feld, Michael S. (Contributor)
Other Authors: Harvard University- (Contributor), Massachusetts Institute of Technology. Spectroscopy Laboratory (Contributor)
Format: Article
Language:English
Published: Annals Publishing Company, 2011-12-20T18:31:02Z.
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