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  4. Visual analytics for radiomics: Combining medical imaging with patient data for clinical research
 
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2017
Conference Paper
Title

Visual analytics for radiomics: Combining medical imaging with patient data for clinical research

Abstract
The visualization and analysis of electronic health records (EHRs) are becoming increasingly relevant for clinical researchers. While the digitization of medical images is general practice today, many clinics are just starting to build up database with the related patient data, patient histories, and treatment outcomes. This paper reports on a project with a medical group of ear, nose, and throat (ENT) specialists. It combines medical image analysis and Radiomics with visual analytics of patient data to build, analyze, and evaluate patient cohorts. The combined visual interface for both browsing and analyzing patient data was developed in collaboration with the medical researchers. In addition to offering a new way of cohort building, our approach also provides a first comprehensive view on the EHR, including the relevant anatomy of patients. This project triggered a new effort to extend the digitized patient database from around 100 patients to the entire patient population at our partner's clinic.
Author(s)
Bannach, Andreas
Fraunhofer-Institut für Graphische Datenverarbeitung IGD  
Bernard, Jürgen
TU Darmstadt GRIS
Jung, Florian
Fraunhofer-Institut für Graphische Datenverarbeitung IGD  
Kohlhammer, Jörn  orcid-logo
Fraunhofer-Institut für Graphische Datenverarbeitung IGD  
May, Thorsten  
Fraunhofer-Institut für Graphische Datenverarbeitung IGD  
Scheckenbach, Kathrin
Heinrich Heine Univ. Düsseldorf
Wesarg, Stefan  
Fraunhofer-Institut für Graphische Datenverarbeitung IGD  
Mainwork
IEEE Workshop on Visual Analytics in Healthcare, VAHC 2017  
Conference
Workshop on Visual Analytics in Healthcare (VAHC) 2017  
Conference on Visualization (VIS) 2017  
DOI
10.1109/VAHC.2017.8387545
Language
English
Fraunhofer-Institut für Graphische Datenverarbeitung IGD  
Keyword(s)
  • human-centered computing

  • visualization

  • Visual analytics

  • feature extraction

  • data visualization

  • Lead Topic: Individual Health

  • Research Line: Computer graphics (CG)

  • Research Line: Human computer interaction (HCI)

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