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Open Practices and Resources for Collaborative Digital Pathology.

Raphaël Marée1

  • 1Montefiore Institute, University of Liège, Liège, Belgium.

Frontiers in Medicine
|December 5, 2019
PubMed
Summary
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This paper reviews open practices and resources in digital pathology to enhance research and education collaboration. It covers open access journals, peer review, and open-source software, highlighting applications and future directions.

Area of Science:

  • Digital Pathology
  • Medical Informatics
  • Open Science

Background:

  • Digital pathology is rapidly evolving, necessitating collaborative research and educational approaches.
  • Traditional research and education methods face challenges in accessibility and data sharing.

Purpose of the Study:

  • To review and categorize open practices and resources in digital pathology.
  • To identify solutions that facilitate collaboration in research and education.
  • To discuss the current state and future potential of open resources in the field.

Main Methods:

  • Comprehensive literature review of open practices in digital pathology.
  • Categorization of open resources including journals, peer review, software, and datasets.
  • Analysis of applications and limitations of these open resources.
Keywords:
collaborationdigital pathologyimage analysisopen dataopen scienceopen source

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Main Results:

  • Identification of key open access journals and open peer review models.
  • Overview of open-source software tools (libraries, desktop, web applications) for digital pathology.
  • Discussion of open access collections and their utility.
  • Examples of successful applications of open practices in digital pathology.

Conclusions:

  • Open practices and resources significantly enhance collaboration and accessibility in digital pathology research and education.
  • Widespread adoption of open-source software and open access data is crucial for future advancements.
  • Addressing current limitations will further unlock the potential of open science in digital pathology.