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Understanding Design for Automated Image Analysis in Digital Pathology
Linköping University, Center for Medical Image Science and Visualization (CMIV). Chalmers University of Technology, Gothenburg, Sweden; Sectra AB, Linkoping, Sweden.
Chalmers University of Technology, Gothenburg, Sweden; University of Stuttgart, Germany.
Linköping University, Department of Science and Technology, Media and Information Technology. Linköping University, Faculty of Science & Engineering. Linköping University, Center for Medical Image Science and Visualization (CMIV). Sectra AB, Linkoping, Sweden.ORCID iD: 0000-0002-9368-0177
Linköping University, Center for Medical Image Science and Visualization (CMIV). Leeds Teaching Hospital NHS Trust Leeds, England.
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2016 (English)In: PROCEEDINGS OF THE NORDICHI 16: THE 9TH NORDIC CONFERENCE ON HUMAN-COMPUTER INTERACTION - GAME CHANGING DESIGN, Association for Computing Machinery (ACM), 2016, 58Conference paper, Published paper (Refereed)
Abstract [en]

Digital pathology is an emerging healthcare field taking advantage of technology that allows digitization of microscopy images. Such digitization enables the use of automated digital image analysis techniques, which could be beneficial for the diagnostic review and prognosis of a variety of conditions. As yet, human-computer interaction (HCI) issues in this field, which is mostly based on visual analysis, have not been systematically explored. Based on reflecting on the process of designing and deploying systems for digital pathology, we propose a new understanding to design automated tools for such environments. We used meeting minutes, design briefs, interviews, personal notes and other artifacts to conduct a thematic analysis. This enabled us to establish four design considerations for introducing digital image analysis to routine pathology that concern level of detail, verification, communication and transparency.

Place, publisher, year, edition, pages
Association for Computing Machinery (ACM), 2016. 58
Keyword [en]
Histopathology; pathology; design; automation; image processing; medical imaging
National Category
Design
Identifiers
URN: urn:nbn:se:liu:diva-133909DOI: 10.1145/2971485.2971561ISI: 000390298600058ISBN: 978-1-4503-4763-1 (print)OAI: oai:DiVA.org:liu-133909DiVA: diva2:1064900
Conference
9th Nordic Conference on Human-Computer Interaction (NordiCHI), Gothenburg, Sweden, October 23-27, 2016
Available from: 2017-01-13 Created: 2017-01-13 Last updated: 2017-01-25Bibliographically approved

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Molin, JesperLundström, ClaesTreanor, Darren
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CiteExportLink to record
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Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • oxford
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf