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Introduction to Digital Image Analysis in Whole-slide Imaging: A White Paper from the Digital Pathology Association
by
Goodman, Matthew R.
, Bowman, Douglas
, Zarella, Mark D.
, Buchbinder, Nathan
, Turner, Oliver C.
, Lillard, Kate
, Parwani, Anil V.
, Molani, Mariam A.
, Yuil-Valdes, Ana G.
, Vemuri, Venkata N.P.
, Aeffner, Famke
, Hartman, Douglas J.
, Lujan, Giovanni M.
, Bui, Marilyn M.
in
Algorithms
/ Artificial intelligence
/ Bias
/ Biomarkers
/ computational pathology
/ Diagnostic software
/ Diagnostic systems
/ Digital computers
/ Digital imaging
/ digital pathology
/ Digitization
/ Drug development
/ Histology
/ Image analysis
/ Laboratories
/ Machine learning
/ Microscopy
/ Open source software
/ Pathology
/ Public domain
/ Quality control
/ quantitative image analysis
/ Review
/ Stains & staining
/ Technical support
/ whole-slide imaging
/ Workflow
2019
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Introduction to Digital Image Analysis in Whole-slide Imaging: A White Paper from the Digital Pathology Association
by
Goodman, Matthew R.
, Bowman, Douglas
, Zarella, Mark D.
, Buchbinder, Nathan
, Turner, Oliver C.
, Lillard, Kate
, Parwani, Anil V.
, Molani, Mariam A.
, Yuil-Valdes, Ana G.
, Vemuri, Venkata N.P.
, Aeffner, Famke
, Hartman, Douglas J.
, Lujan, Giovanni M.
, Bui, Marilyn M.
in
Algorithms
/ Artificial intelligence
/ Bias
/ Biomarkers
/ computational pathology
/ Diagnostic software
/ Diagnostic systems
/ Digital computers
/ Digital imaging
/ digital pathology
/ Digitization
/ Drug development
/ Histology
/ Image analysis
/ Laboratories
/ Machine learning
/ Microscopy
/ Open source software
/ Pathology
/ Public domain
/ Quality control
/ quantitative image analysis
/ Review
/ Stains & staining
/ Technical support
/ whole-slide imaging
/ Workflow
2019
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Do you wish to request the book?
Introduction to Digital Image Analysis in Whole-slide Imaging: A White Paper from the Digital Pathology Association
by
Goodman, Matthew R.
, Bowman, Douglas
, Zarella, Mark D.
, Buchbinder, Nathan
, Turner, Oliver C.
, Lillard, Kate
, Parwani, Anil V.
, Molani, Mariam A.
, Yuil-Valdes, Ana G.
, Vemuri, Venkata N.P.
, Aeffner, Famke
, Hartman, Douglas J.
, Lujan, Giovanni M.
, Bui, Marilyn M.
in
Algorithms
/ Artificial intelligence
/ Bias
/ Biomarkers
/ computational pathology
/ Diagnostic software
/ Diagnostic systems
/ Digital computers
/ Digital imaging
/ digital pathology
/ Digitization
/ Drug development
/ Histology
/ Image analysis
/ Laboratories
/ Machine learning
/ Microscopy
/ Open source software
/ Pathology
/ Public domain
/ Quality control
/ quantitative image analysis
/ Review
/ Stains & staining
/ Technical support
/ whole-slide imaging
/ Workflow
2019
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Introduction to Digital Image Analysis in Whole-slide Imaging: A White Paper from the Digital Pathology Association
Journal Article
Introduction to Digital Image Analysis in Whole-slide Imaging: A White Paper from the Digital Pathology Association
2019
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Overview
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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