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Imaging Breast Pathology in situ using Broadband Scatter Spectroscopy and a K-Nearest Neighbor Classifier

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Abstract

A reflectance imaging system acquired spectra from breast tissue and scattering parameters were linked to morphological features identified by a pathologist in 75 ROIs. A KNN algorithm discriminated between tissue pathologies with nearly 84% accuracy.

© 2010 Optical Society of America

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