Image Analysis in Surgical Pathology

Mark C Lloyd; James P Monaco; Marilyn M Bui

doi:10.1016/j.path.2016.02.001

Image Analysis in Surgical Pathology

Surg Pathol Clin. 2016 Jun;9(2):329-37. doi: 10.1016/j.path.2016.02.001.

Authors

Mark C Lloyd¹, James P Monaco², Marilyn M Bui³

Affiliations

¹ Analytic Microscopy Core, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL, USA; Department of Biological Sciences, University of Chicago Illinois, 845 West Taylor Street, Chicago, IL 60607, USA. Electronic address: mlloyd8@uic.edu.
² Inspirata, Inc. Tampa, FL, USA.
³ Analytic Microscopy Core, Department of Anatomic Pathology, H. Lee Moffitt Cancer Center and Research Institute, 12902 Magnolia Drive, Tampa, FL 33612, USA. Electronic address: marilyn.bui@moffitt.org.

Abstract

Digitization of glass slides of surgical pathology samples facilitates a number of value-added capabilities beyond what a pathologist could previously do with a microscope. Image analysis is one of the most fundamental opportunities to leverage the advantages that digital pathology provides. The ability to quantify aspects of a digital image is an extraordinary opportunity to collect data with exquisite accuracy and reliability. In this review, we describe the history of image analysis in pathology and the present state of technology processes as well as examples of research and clinical use.

Keywords: Digital pathology; Image analysis; Surgical pathology.

Publication types

Review

MeSH terms

Bayes Theorem
Bibliometrics
Humans
Image Processing, Computer-Assisted / methods*
Markov Chains
Pathology, Surgical / methods*
Peer Review / trends
Translational Research, Biomedical / methods

Grants and funding

P30 CA076292/CA/NCI NIH HHS/United States