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Automated nuclear analysis of prostate cancer and benign prostate hyperplasia

  • University of North Carolina at Chapel Hill
  • Korea Advanced Institute of Science and Technology

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

Accurate measurement of the levels of androgen receptor (AR) protein expression is critical for prostate research. The Java-based automated image analysis system can: a) detect potential prostate nuclei; b) remove artifacts; c) classify prostate epithelial nuclei; and d) measure nuclear AR expression. A set of 200 immunonegative and 200 immunopositive nuclei are used to create a classification parameter set. The parameters reduce the effect of local variations in slide preparation and image collection on image analysis. The software performs local segmentation to detect prostatic epithelial nuclei and classify each nucleus as malignant or benign. AR expression is described by (a) percentage of immunopositive nuclei; (b) percentage of immunopositive nuclear area; and (c) intensity of AR expression among immunopositive nuclei or areas.

Original languageEnglish
Title of host publicationProceedings of the 3rd IASTED International Conference on Biomedical Engineering 2005
EditorsM.H. Hamza
Pages95-98
Number of pages4
StatePublished - 2005
Event3rd IASTED International Conference on Medical Engineering 2005 - Innsbruck, Austria
Duration: Feb 16 2005Feb 18 2005

Publication series

NameProceedings of the 3rd IASTED International Conference on Biomedical Engineering 2005

Conference

Conference3rd IASTED International Conference on Medical Engineering 2005
Country/TerritoryAustria
CityInnsbruck
Period02/16/0502/18/05

Keywords

  • Image Analysis
  • Immunostaining
  • Java Web Start
  • Prostate Cancer

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