Overcoming an annotation hurdle: Digitizing pen annotations from whole slide images

Overcoming an annotation hurdle: Digitizing pen annotations from whole slide images

Background: The development of artificial intelligence (AI) in pathology frequently relies on digitally annotated whole slide images (WSI). The creation of these annotations – manually drawn by pathologists in digital slide viewers – is time consuming and expensive. At the same time, pathologists ro...

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Bibliographic Details
Main Authors: Peter J. Schüffler, Dig Vijay Kumar Yarlagadda, Chad Vanderbilt, Thomas J Fuchs
Format: Article
Language:English
Published: Elsevier 2021-01-01
Series:Journal of Pathology Informatics
Subjects:
computational pathology
digital pathology
pen annotations
training data generation
Online Access:http://www.jpathinformatics.org/article.asp?issn=2153-3539;year=2021;volume=12;issue=1;spage=9;epage=9;aulast=Schuffler

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http://www.jpathinformatics.org/article.asp?issn=2153-3539;year=2021;volume=12;issue=1;spage=9;epage=9;aulast=Schuffler

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