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Understanding Design for Automated Image Analysis in Digital Pathology
Linköpings universitet, Centrum för medicinsk bildvetenskap och visualisering, CMIV. Chalmers University of Technology, Gothenburg, Sweden; Sectra AB, Linkoping, Sweden.
Chalmers University of Technology, Gothenburg, Sweden; University of Stuttgart, Germany.
Linköpings universitet, Institutionen för teknik och naturvetenskap, Medie- och Informationsteknik. Linköpings universitet, Tekniska fakulteten. Linköpings universitet, Centrum för medicinsk bildvetenskap och visualisering, CMIV. Sectra AB, Linkoping, Sweden.ORCID-id: 0000-0002-9368-0177
Linköpings universitet, Centrum för medicinsk bildvetenskap och visualisering, CMIV. Leeds Teaching Hospital NHS Trust Leeds, England.
Vise andre og tillknytning
2016 (engelsk)Inngår i: PROCEEDINGS OF THE NORDICHI 16: THE 9TH NORDIC CONFERENCE ON HUMAN-COMPUTER INTERACTION - GAME CHANGING DESIGN, Association for Computing Machinery (ACM), 2016, artikkel-id 58Konferansepaper, Publicerat paper (Fagfellevurdert)
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.

sted, utgiver, år, opplag, sider
Association for Computing Machinery (ACM), 2016. artikkel-id 58
Emneord [en]
Histopathology; pathology; design; automation; image processing; medical imaging
HSV kategori
Identifikatorer
URN: urn:nbn:se:liu:diva-133909DOI: 10.1145/2971485.2971561ISI: 000390298600058ISBN: 978-1-4503-4763-1 (tryckt)OAI: oai:DiVA.org:liu-133909DiVA, id: diva2:1064900
Konferanse
9th Nordic Conference on Human-Computer Interaction (NordiCHI), Gothenburg, Sweden, October 23-27, 2016
Tilgjengelig fra: 2017-01-13 Laget: 2017-01-13 Sist oppdatert: 2018-03-22bibliografisk kontrollert

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