Quantitative Automated Image Analysis System with Automated Debris Filtering for the Detection of Breast Carcinoma Cells
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Quantitative Automated Image Analysis System with Automated Debris Filtering for the Detection of Breast Carcinoma Cells

David T. Martin, Sergio Sandoval, Casey N. Ta, Manuel E. Ruidiaz, Maria Jose Cortes-Mateos, Davorka Messmer, Andrew C. Kummel, Sarah L. Blair, Jessica Wang-Rodriguez;David T. Martin;Sergio Sandoval;Casey N. Ta;Manuel E. Ruidiaz;Maria Jose Cortes-Mateos;Davorka Messmer;Andrew C. Kummel;Sarah L. Blair;Jessica Wang-Rodriguez;
acta cytologica 2011 Vol. 55 pp. 271-
198
wang-rodriguez2011actaquantitative

Abstract

To develop an intraoperative method for margin status evaluation during breast conservation therapy (BCT) using an automated analysis of imprint cytology specimens.Imprint cytology samples were prospectively taken from 47 patients undergoing either BCT ...

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DOI:
10.1159/000324029
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https://www.ncbi.nlm.nih.gov/pmc/articles/PMC31014...

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