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Aligning Video-And Structured Data for Imaging Optimisation.

Ivarsson, Jonas, 1976 (author)
University of Gothenburg,Gothenburg University,Göteborgs universitet,Institutionen för tillämpad informationsteknologi (GU),Department of Applied Information Technology (GU)
Almén, Anja (author)
Lund University,Lunds universitet,Medicinsk strålningsfysik, Malmö,Forskargrupper vid Lunds universitet,LUCC: Lunds universitets cancercentrum,Övriga starka forskningsmiljöer,Medical Radiation Physics, Malmö,Lund University Research Groups,LUCC: Lund University Cancer Centre,Other Strong Research Environments,Swedish Radiation Safety Authority
Falkenberg, Mårten, 1959 (author)
Gothenburg University,Göteborgs universitet,Institutionen för kliniska vetenskaper, Avdelningen för radiologi,Institute of Clinical Sciences, Department of Radiology,Sahlgrenska Academy
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Lundh, Charlotta, 1977 (author)
Gothenburg University,Göteborgs universitet,Institutionen för kliniska vetenskaper, Avdelningen för medicinsk strålningsvetenskap,Institute of Clinical Sciences, Department of Medical Radiation Sciences,Sahlgrenska University Hospital
Båth, Magnus, 1974 (author)
Gothenburg University,Göteborgs universitet,Institutionen för kliniska vetenskaper, Avdelningen för medicinsk strålningsvetenskap,Institute of Clinical Sciences, Department of Medical Radiation Sciences,Sahlgrenska University Hospital
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 (creator_code:org_t)
2021-05-25
2021
English.
In: Radiation protection dosimetry. - : Oxford University Press (OUP). - 1742-3406 .- 0144-8420. ; 195:3-4, s. 134-138
  • Journal article (peer-reviewed)
Abstract Subject headings
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  • Imaging optimisation can benefit from combining structured data with qualitative data in the form of audio and video recordings. Since video is complex to work with, there is a need to find a workable solution that minimises the additional time investment. The purpose of the paper is to outline a general workflow that can begin to address this issue. What is described is a data management process comprising the three steps of collection, mining and contextualisation. This process offers a way to work systematically and at a large scale without succumbing to the context loss of statistical methods. The proposed workflow effectively combines the video and structured data to enable a new level of insights in the optimisation process.

Subject headings

MEDICIN OCH HÄLSOVETENSKAP  -- Klinisk medicin -- Radiologi och bildbehandling (hsv//swe)
MEDICAL AND HEALTH SCIENCES  -- Clinical Medicine -- Radiology, Nuclear Medicine and Medical Imaging (hsv//eng)

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