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Automated analysis of immunohistochemical images based on curve evolution approaches

Zervakis Michalis, Livanos, Georges, G.C. Giakos

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URIhttp://purl.tuc.gr/dl/dias/D0DA626A-8267-40E6-A065-408D58BC16BC-
Identifierhttps://doi.org/10.1109/IST.2013.6729673-
Languageen-
Extent4 pagesen
TitleAutomated analysis of immunohistochemical images based on curve evolution approachesen
CreatorZervakis Michalisen
CreatorΖερβακης Μιχαληςel
CreatorLivanos, Georgesen
CreatorG.C. Giakosen
PublisherInstitute of Electrical and Electronics Engineersen
Content SummaryThe HER2/neu oncogene is notable both for its role in the pathogenesis of breast cancer and its role as a target of treatment. Qualitative or quantitative protein evaluation has been achieved using immunohistochemistry (IHC) on frozen and archival tissues, a widely adopted technique due to the standardization of the internal procedural steps and its easy and low-cost applicability to any laboratory. The goal of the present study is to introduce an efficient tool for the automated detection of HER2 protein overexpression in tissues, providing accurate, instant, yet objective interpretation outcomes through a formalized procedure. The comparison of results with classifications by specialists who evaluated the same tissue samples dataset confirms the efficiency and prospect of the methodology.en
Type of ItemΠλήρης Δημοσίευση σε Συνέδριοel
Type of ItemConference Full Paperen
Licensehttp://creativecommons.org/licenses/by/4.0/en
Date of Item2015-10-25-
Date of Publication2013-
SubjectBasic medical sciencesen
SubjectBasic sciences, Medicalen
SubjectBiomedical sciencesen
SubjectHealth sciencesen
SubjectPreclinical sciencesen
SubjectSciences, Medicalen
Subjectmedical sciencesen
Subjectbasic medical sciencesen
Subjectbasic sciences medicalen
Subjectbiomedical sciencesen
Subjecthealth sciencesen
Subjectpreclinical sciencesen
Subjectsciences medicalen
Bibliographic CitationG. Livanos, M. Zervakis, G.C. Giakos ,"Automated analysis of immunohistochemical images based on curve evolution approaches ,"in 2013 Inter. Conf. on Imaging Systems and Tech. (IST) ,pp.112 - 115.doi:10.1109/IST.2013.6729673en

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