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  • Benoît Plancoulaine, Aida Laurinavičienė, +5 authors Arvydas Laurinavičius
  • Medicine, Biology
  • Virchows Archiv
  • 2015 (First Publication: 1 December 2015)
  • Digital image analysis (DIA) enables higher accuracy, reproducibility, and capacity to enumerate cell populations by immunohistochemistry; however, the most unique benefits may be obtained byContinue Reading
  • Arvydas Laurinavicius, Benoît Plancoulaine, +9 authors Ian O. Ellis
  • Medicine
  • Breast Cancer Research
  • 2013 (First Publication: 1 April 2014)
  • IntroductionImmunohistochemical Ki67 labelling index (Ki67 LI) reflects proliferative activity and is a potential prognostic/predictive marker of breast cancer. However, its clinical utility isContinue Reading
  • Raji Ganesan, Lynn Hirschowitz, Indra Baltrušaitytė, W Glenn McCluggage
  • Medicine, Biology
  • International journal of gynecological pathology…
  • 2011 (First Publication: 1 September 2011)
  • Most adult granulosa cell tumors (AGCTs) consist of small-to-medium cells with scanty cytoplasm imparting a "small blue cell" appearance. We report 9 cases of luteinized AGCT, whose appearanceContinue Reading
  • Aida Laurinavičienė, Benoît Plancoulaine, +7 authors Arvydas Laurinavicius
  • Medicine, Biology
  • Diagnostic Pathology
  • 2014
  • BackgroundDigital immunohistochemistry (IHC) is one of the most promising applications brought by new generation image analysis (IA). While conventional IHC staining quality is monitored byContinue Reading
  • Benoît Plancoulaine, Aida Laurinavičienė, +4 authors Arvydas Laurinavicius
  • Medicine
  • Diagnostic Pathology
  • 2014 (First Publication: 1 December 2014)
  • BackgroundDigital image analysis (DIA) enables better reproducibility of immunohistochemistry (IHC) studies. Nevertheless, accuracy of the DIA methods needs to be ensured, demanding production ofContinue Reading