KI-67 hot-spots detection on glioblastoma tissue sections

Author

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

Author_Institution

Lab. of Image Synthesis & Anal. (LISA), Univ. Libre de Bruxelles, Brussels, Belgium

fYear

2010

fDate

14-17 April 2010

Firstpage

149

Lastpage

152

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.

Keywords

biochemistry; brain; cancer; cellular biophysics; medical image processing; pattern clustering; tumours; Ki-67 hot-spot detection; Ki-67 staining method; cerebral tumors; clustering method; glioblastomas; immunohistochemistry; proliferative activity; Carbon capture and storage; Character generation; Clustering algorithms; Couplings; Image color analysis; Immune system; Labeling; Neoplasms; Shape; Topology; biomarker; clustering; immunohistochemistry; staining;

fLanguage

English

Publisher

ieee

Conference_Titel

Biomedical Imaging: From Nano to Macro, 2010 IEEE International Symposium on

Conference_Location

Rotterdam

ISSN

1945-7928

Print_ISBN

978-1-4244-4125-9

Electronic_ISBN

1945-7928

Type

conf

DOI

10.1109/ISBI.2010.5490393

Filename

5490393

Link To Document

https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2724008