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Integration of architectural and cytologic driven image algorithms for prostate adenocarcinoma identification.

Authors
  • Hipp, Jason
  • Monaco, James
  • Kunju, L Priya
  • Cheng, Jerome
  • Yagi, Yukako
  • Rodriguez-Canales, Jaime
  • Emmert-Buck, Michael R
  • Hewitt, Stephen
  • Feldman, Michael D
  • Tomaszewski, John E
  • Toner, Mehmet
  • Tompkins, Ronald G
  • Flotte, Thomas
  • Lucas, David
  • Gilbertson, John R
  • Madabhushi, Anant
  • Balis, Ulysses
Type
Published Article
Journal
Analytical cellular pathology (Amsterdam)
Publication Date
Jan 01, 2012
Volume
35
Issue
4
Pages
251–265
Identifiers
DOI: 10.3233/ACP-2012-0054
PMID: 22425661
Source
Medline
License
Unknown

Abstract

This ability to semi-autonomously paint nearly all the malignant epithelium of prostate cancer has immediate applications to future prostate cancer CAD development as a validated ground truth generator. In addition, such an approach has potential applications as a pre-screening/quality assurance tool.

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