ALIGNING VIDEO-AND STRUCTURED DATA FOR IMAGING OPTIMISATION
| Autor: | Charlotta Lundh, Magnus Båth, Mårten Falkenberg, Jonas Ivarsson, Anja Almen |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
Paper
Diagnostic Imaging Radiation Information retrieval AcademicSubjects/SCI00180 Radiological and Ultrasound Technology Computer science business.industry Process (engineering) Data management Scale (chemistry) Public Health Environmental and Occupational Health Video Recording Qualitative property Context (language use) General Medicine 030218 nuclear medicine & medical imaging 03 medical and health sciences 0302 clinical medicine Workflow Work (electrical) 030220 oncology & carcinogenesis Radiology Nuclear Medicine and imaging business |
| Zdroj: | Radiation Protection Dosimetry |
| ISSN: | 1742-3406 0144-8420 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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