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)....

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Bibliographic Details
Main Authors: McGee, Sasha, Mardirossian, Vartan, Elackattu, Alphi, Mirkovic, Jelena, Pistey, Robert, Gallagher, George, Kabani, Sadru, Yu, Chung-Chieh, Wang, Zimmern, Badizadegan, Kamran, Grillone, Gregory, Feld, Michael S.
Other Authors: Harvard University--MIT Division of Health Sciences and Technology
Format: Article
Language:en_US
Published: Annals Publishing Company 2011
Online Access:http://hdl.handle.net/1721.1/67836