title: Image Analysis in Surgical Pathology.
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.
authors.affiliation: 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.
authors.forename: Mark C
authors.initials: MC
authors.lastname: Lloyd
authors.affiliation: Inspirata, Inc. Tampa, FL, USA.
authors.forename: James P
authors.initials: JP
authors.lastname: Monaco
authors.affiliation: 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.
authors.forename: Marilyn M
authors.initials: MM
authors.lastname: Bui
mesh_terms: D001499:Bayes Theorem; D015706:Bibliometrics; D006801:Humans; D007091:Image Processing, Computer-Assisted / Q000379:methods*; D008390:Markov Chains; D010340:Pathology, Surgical / Q000379:methods*; D010380:Peer Review / Q000639:trends; D057170:Translational Research, Biomedical / Q000379:methods
keywords: Digital pathology; Image analysis; Surgical pathology