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Introduction to Digital Image Analysis in Whole-slide Imaging: A White Paper from the Digital Pathology Association

The advent of whole-slide imaging in digital pathology has brought about the advancement of computer-aided examination of tissue via digital image analysis. Digitized slides can now be easily annotated and analyzed via a variety of algorithms. This study reviews the fundamentals of tissue image anal...

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Autores principales: Aeffner, Famke, Zarella, Mark D., Buchbinder, Nathan, Bui, Marilyn M., Goodman, Matthew R., Hartman, Douglas J., Lujan, Giovanni M., Molani, Mariam A., Parwani, Anil V., Lillard, Kate, Turner, Oliver C., Vemuri, Venkata N. P., Yuil-Valdes, Ana G., Bowman, Douglas
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Wolters Kluwer - Medknow 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6437786/
https://www.ncbi.nlm.nih.gov/pubmed/30984469
http://dx.doi.org/10.4103/jpi.jpi_82_18
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author Aeffner, Famke
Zarella, Mark D.
Buchbinder, Nathan
Bui, Marilyn M.
Goodman, Matthew R.
Hartman, Douglas J.
Lujan, Giovanni M.
Molani, Mariam A.
Parwani, Anil V.
Lillard, Kate
Turner, Oliver C.
Vemuri, Venkata N. P.
Yuil-Valdes, Ana G.
Bowman, Douglas
author_facet Aeffner, Famke
Zarella, Mark D.
Buchbinder, Nathan
Bui, Marilyn M.
Goodman, Matthew R.
Hartman, Douglas J.
Lujan, Giovanni M.
Molani, Mariam A.
Parwani, Anil V.
Lillard, Kate
Turner, Oliver C.
Vemuri, Venkata N. P.
Yuil-Valdes, Ana G.
Bowman, Douglas
author_sort Aeffner, Famke
collection PubMed
description The advent of whole-slide imaging in digital pathology has brought about the advancement of computer-aided examination of tissue via digital image analysis. Digitized slides can now be easily annotated and analyzed via a variety of algorithms. This study reviews the fundamentals of tissue image analysis and aims to provide pathologists with basic information regarding the features, applications, and general workflow of these new tools. The review gives an overview of the basic categories of software solutions available, potential analysis strategies, technical considerations, and general algorithm readouts. Advantages and limitations of tissue image analysis are discussed, and emerging concepts, such as artificial intelligence and machine learning, are introduced. Finally, examples of how digital image analysis tools are currently being used in diagnostic laboratories, translational research, and drug development are discussed.
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spelling pubmed-64377862019-04-12 Introduction to Digital Image Analysis in Whole-slide Imaging: A White Paper from the Digital Pathology Association Aeffner, Famke Zarella, Mark D. Buchbinder, Nathan Bui, Marilyn M. Goodman, Matthew R. Hartman, Douglas J. Lujan, Giovanni M. Molani, Mariam A. Parwani, Anil V. Lillard, Kate Turner, Oliver C. Vemuri, Venkata N. P. Yuil-Valdes, Ana G. Bowman, Douglas J Pathol Inform Review Article The advent of whole-slide imaging in digital pathology has brought about the advancement of computer-aided examination of tissue via digital image analysis. Digitized slides can now be easily annotated and analyzed via a variety of algorithms. This study reviews the fundamentals of tissue image analysis and aims to provide pathologists with basic information regarding the features, applications, and general workflow of these new tools. The review gives an overview of the basic categories of software solutions available, potential analysis strategies, technical considerations, and general algorithm readouts. Advantages and limitations of tissue image analysis are discussed, and emerging concepts, such as artificial intelligence and machine learning, are introduced. Finally, examples of how digital image analysis tools are currently being used in diagnostic laboratories, translational research, and drug development are discussed. Wolters Kluwer - Medknow 2019-03-08 /pmc/articles/PMC6437786/ /pubmed/30984469 http://dx.doi.org/10.4103/jpi.jpi_82_18 Text en Copyright: © 2019 Journal of Pathology Informatics http://creativecommons.org/licenses/by-nc-sa/4.0 This is an open access journal, and articles are distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 License, which allows others to remix, tweak, and build upon the work non-commercially, as long as appropriate credit is given and the new creations are licensed under the identical terms.
spellingShingle Review Article
Aeffner, Famke
Zarella, Mark D.
Buchbinder, Nathan
Bui, Marilyn M.
Goodman, Matthew R.
Hartman, Douglas J.
Lujan, Giovanni M.
Molani, Mariam A.
Parwani, Anil V.
Lillard, Kate
Turner, Oliver C.
Vemuri, Venkata N. P.
Yuil-Valdes, Ana G.
Bowman, Douglas
Introduction to Digital Image Analysis in Whole-slide Imaging: A White Paper from the Digital Pathology Association
title Introduction to Digital Image Analysis in Whole-slide Imaging: A White Paper from the Digital Pathology Association
title_full Introduction to Digital Image Analysis in Whole-slide Imaging: A White Paper from the Digital Pathology Association
title_fullStr Introduction to Digital Image Analysis in Whole-slide Imaging: A White Paper from the Digital Pathology Association
title_full_unstemmed Introduction to Digital Image Analysis in Whole-slide Imaging: A White Paper from the Digital Pathology Association
title_short Introduction to Digital Image Analysis in Whole-slide Imaging: A White Paper from the Digital Pathology Association
title_sort introduction to digital image analysis in whole-slide imaging: a white paper from the digital pathology association
topic Review Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6437786/
https://www.ncbi.nlm.nih.gov/pubmed/30984469
http://dx.doi.org/10.4103/jpi.jpi_82_18
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