Integration of Architectural and Cytologic Driven Image Algorithms for Prostate Adenocarcinoma Identification

Jason Hipp; James Monaco; L. Priya Kunju; Jerome Cheng; Yukako Yagi; Jaime Rodriguez-Canales; Michael R. Emmert-Buck; Stephen Hewitt; Michael D. Feldman; John E. Tomaszewski; Mehmet Toner; Ronald G. Tompkins; Thomas Flotte; David Lucas; John R. Gilbertson; Anant Madabhushi; Ulysses Balis

doi:10.3233/ACP-2012-0054

Analytical Cellular Pathology (Jan 2012)

Integration of Architectural and Cytologic Driven Image Algorithms for Prostate Adenocarcinoma Identification

Jason Hipp,
James Monaco,
L. Priya Kunju,
Jerome Cheng,
Yukako Yagi,
Jaime Rodriguez-Canales,
Michael R. Emmert-Buck,
Stephen Hewitt,
Michael D. Feldman,
John E. Tomaszewski,
Mehmet Toner,
Ronald G. Tompkins,
Thomas Flotte,
David Lucas,
John R. Gilbertson,
Anant Madabhushi,
Ulysses Balis

Affiliations

Jason Hipp: Department of Pathology, University of Michigan, M4233A Medical Science I, Catherine MI, USA
James Monaco: Department of Biomedical Engineering, Rutgers The State University of New Jersey, Piscataway, NJ, USA
L. Priya Kunju: Department of Pathology, University of Michigan, M4233A Medical Science I, Catherine MI, USA
Jerome Cheng: Department of Pathology, University of Michigan, M4233A Medical Science I, Catherine MI, USA
Yukako Yagi: MGH Pathology Imaging and Communication Technology (PICT) Center, Boston, MA, USA
Jaime Rodriguez-Canales: Laboratory of Pathology, National Institutes of Health, National Cancer Institute, Advanced Technology Center, Gaithersburg, MD, USA
Michael R. Emmert-Buck: Laboratory of Pathology, National Institutes of Health, National Cancer Institute, Advanced Technology Center, Gaithersburg, MD, USA
Stephen Hewitt: Laboratory of Pathology, National Institutes of Health, National Cancer Institute, Advanced Technology Center, Gaithersburg, MD, USA
Michael D. Feldman: Department of Pathology and Laboratory Medicine, Perlman School of Medicine at the University of Pennsylvania, Division of Surgical Pathology, 6 Founders Hospital of the University of Pennsylvania, Philadelphia, PA, USA
John E. Tomaszewski: Pathology and Anatomical Sciences, School of Medicine and Biomedical Sciences, SUNY at the University of Buffalo, Buffalo, NY, USA
Mehmet Toner: Massachusetts General Hospital, Harvard Medical School, Charlestown, MA, USA
Ronald G. Tompkins: Massachusetts General Hospital, Harvard Medical School, Charlestown, MA, USA
Thomas Flotte: Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, USA
David Lucas: Department of Pathology, University of Michigan, M4233A Medical Science I, Catherine MI, USA
John R. Gilbertson: Department of Pathology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
Anant Madabhushi: Department of Biomedical Engineering, Rutgers The State University of New Jersey, Piscataway, NJ, USA
Ulysses Balis: Department of Pathology, University of Michigan, M4233A Medical Science I, Catherine MI, USA

DOI: https://doi.org/10.3233/ACP-2012-0054
Journal volume & issue: Vol. 35, no. 4
pp. 251 – 265

Abstract

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Introduction: The advent of digital slides offers new opportunities within the practice of pathology such as the use of image analysis techniques to facilitate computer aided diagnosis (CAD) solutions. Use of CAD holds promise to enable new levels of decision support and allow for additional layers of quality assurance and consistency in rendered diagnoses. However, the development and testing of prostate cancer CAD solutions requires a ground truth map of the cancer to enable the generation of receiver operator characteristic (ROC) curves. This requires a pathologist to annotate, or paint, each of the malignant glands in prostate cancer with an image editor software - a time consuming and exhaustive process.

Published in Analytical Cellular Pathology

ISSN: 2210-7177 (Print); 2210-7185 (Online)
Publisher: Hindawi Limited
Country of publisher: United Kingdom
LCC subjects: Medicine: Internal medicine: Neoplasms. Tumors. Oncology. Including cancer and carcinogens; Science: Biology (General): Cytology
Website: https://www.hindawi.com/journals/acp/

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