Automated analysis of PIN-4 stained prostate needle biopsies

  • Authors:

  • Bikash Sabata;Boris Babenko;Robert Monroe;Chukka Srinivas

  • Affiliations:

  • BioImagene Inc., Sunnyvale, CA;BioImagene Inc., Sunnyvale, CA;BioImagene Inc., Sunnyvale, CA;BioImagene Inc., Sunnyvale, CA

  • Venue:
  • MICCAI'10 Proceedings of the 2010 international conference on Prostate cancer imaging: computer-aided diagnosis, prognosis, and intervention
  • Year:
  • 2010

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Abstract

Prostate Needle biopsies are stained with the PIN-4 marker cocktail to help the pathologist distinguish between HGPIN and adenocarcinoma. The correct interpretation of multiple IHC markers can be challenging. Therefore we propose the use of computer aided diagnosis algorithms for the identification and classification of glands in a whole slide image of prostate needle biopsy. The paper presents the different issues related to the automated analysis of prostate needle biopsies and the approach taken by BioImagene in its first generation algorithms.