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Eguizabal, A.* ; Laughney, A.M.* ; Garcia-Allende, P. ; Krishnaswamy, V.* ; Wells, W.A.* ; Paulsen, K.D.* ; Pogue, B.W.* ; Lopez-Higuera, J.M.* ; Conde, O.M.*

ICA-guided delineation of breast cancer pathology.

In: Proceedings of the 9th IEEE International Symposium on Biomedical Imaging (From Nano to Macro ISBI 2012, Barcelona, 2-5 May 2012). Piscataway, NJ: IEEE, 2012. 1611-1614
DOI
A surgeon-guided independent component analysis from optical reflectance measurements is proposed for breast tumor delineation. Independent Component Analysis is first applied to extract the most relevant features from local measures of broadband reflectance and then a tumor probability indicator is obtained and provided utilizing surgeon assistance to resolve the inherent ambiguities in the independent component calculation. A set of 29 breast tissue samples have been diagnosed achieving a sensitivity of 90.57%, and specificity of 93.98%.
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Publication type Article: Conference contribution
Corresponding Author
Keywords breast tumor delineation; independent component analysis (ICA); principal component analysis (PCA); optical scattering
ISSN (print) / ISBN 1945-7928
Conference Title From Nano to Macro ISBI 2012, Barcelona, 2-5 May 2012
Proceedings Title Proceedings of the 9th IEEE International Symposium on Biomedical Imaging
Quellenangaben Volume: , Issue: , Pages: 1611-1614 Article Number: , Supplement: ,
Publisher IEEE
Publishing Place Piscataway, NJ
Non-patent literature Publications
Institute(s) Institute of Biological and Medical Imaging (IBMI)