KI-67 hot-spots detection on glioblastoma tissue sections

  • Authors:

  • Xavier Moles Lopez;Olivier Debeir;Calliope Maris;Isabelle Roland;Isabelle Salmon;Christine Decaestecker

  • Affiliations:

  • Laboratory of Image Synthesis and Analysis, Faculty of Applied Sciences, Université Libre de Bruxelles, Brussels, Belgium;Laboratory of Image Synthesis and Analysis, Faculty of Applied Sciences, Université Libre de Bruxelles, Brussels, Belgium;Department of Pathology, Erasme Hospital, Université Brussels, Belgium;Department of Pathology, Erasme Hospital, Université Brussels, Belgium;Department of Pathology, Erasme Hospital, Université Brussels, Belgium;Laboratory of Image Synthesis and Analysis, Faculty of Applied Sciences, Université Libre de Bruxelles, Brussels, Belgium

  • Venue:
  • ISBI'10 Proceedings of the 2010 IEEE international conference on Biomedical imaging: from nano to Macro
  • Year:
  • 2010

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Abstract

Glioblastomas are very aggressive cerebral tumors which are characterized by strong proliferative activity which is often assessed using the Ki-67 staining method. We propose a novel clustering method that exhibits high performance to detect Ki-67 hot-spots on immunohistochemical slides of glioblastomas.