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Value of Public Challenges for the Development of Pathology Deep Learning Algorithms

Hartman, Douglas Joseph (author)
Department of Pathology, University of Pittsburgh Medical Center, Pittsburgh, PA, USA
van der Laak, Jeroen, 1967- (author)
Linköpings universitet,Centrum för medicinsk bildvetenskap och visualisering, CMIV,Department of Pathology, Radboud University Medical Center, Nijmegen, The Netherlands
Gurcan, Metin N (author)
Center for Biomedical Informatics, Wake Forest School of Medicine, Winston Salem, NC, USA
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Pantanowitz, Liron (author)
Department of Pathology, University of Pittsburgh Medical Center, Pittsburgh, PA, USA
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 (creator_code:org_t)
Medknow Publications, 2020
2020
English.
In: Journal of Pathology Informatics. - : Medknow Publications. - 2229-5089 .- 2153-3539. ; 11
  • Journal article (peer-reviewed)
Abstract Subject headings
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  • The introduction of digital pathology is changing the practice of diagnostic anatomic pathology. Digital pathology offers numerous advantages over using a physical slide on a physical microscope, including more discriminative tools to render a more precise diagnostic report. The development of these tools is being facilitated by public challenges related to specific diagnostic tasks within anatomic pathology. To date, 24 public challenges related to pathology tasks have been published. This article discusses these public challenges and briefly reviews the underlying characteristics of public challenges and why they are helpful to the development of digital tools.

Subject headings

SAMHÄLLSVETENSKAP  -- Medie- och kommunikationsvetenskap -- Systemvetenskap, informationssystem och informatik med samhällsvetenskaplig inriktning (hsv//swe)
SOCIAL SCIENCES  -- Media and Communications -- Information Systems, Social aspects (hsv//eng)

Keyword

Algorithm development; artificial intelligence; digital pathology algorithms; public challenges

Publication and Content Type

ref (subject category)
art (subject category)

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