PuSH - Publikationsserver des Helmholtz Zentrums München

Ivanovska, T.* ; Herzog, S.* ; Flores, J.M.* ; Ciet, P.* ; Linsen, L.* ; Duijts, L.* ; Tiddens, H.* ; Völzke, H.* ; Peters, A. ; Worgotter, F.*

Potential of epidemiological imaging for image analysis and visualization applications: A brief review.

In: (2017 Fourth International Conference on Mathematics and Computers in Sciences and in Industry (MCSI), 24-27 Aug. 2017, Corfu, Greece). 2018. 1-6 ( ; 2018-January)
DOI
Recently, large population-based studies gain increasing focus in the research community. Epidemiological studies acquire numerous data by means of questionnaires and examinations. Many of these studies also collect imaging data, for instance, magnetic resonance imaging or ultrasonography from hundreds or even thousands of participants. Here, we consider several on-going epidemiological studies conducted in Europe as well as challenges of subsequent image analysis and visualization of heterogeneous data, which were obtained within these studies. In particular, the main focus is on airway extraction tasks and the visual analytics problems. Available solutions and future directions for computer science specialists are presented and analyzed in terms of user-friendliness, speed, and efficiency.
Altmetric
Tags
Anmerkungen
Besondere Publikation
Auf Hompepage verbergern

Zusatzinfos bearbeiten
Eigene Tags bearbeiten
Privat
Eigene Anmerkung bearbeiten
Privat
Auf Publikationslisten für
Homepage nicht anzeigen
Als besondere Publikation
markieren
Publikationstyp Artikel: Konferenzbeitrag
Sprache englisch
Veröffentlichungsjahr 2018
HGF-Berichtsjahr 2018
ISSN (print) / ISBN 9781538628201
Konferenztitel 2017 Fourth International Conference on Mathematics and Computers in Sciences and in Industry (MCSI)
Konferzenzdatum 24-27 Aug. 2017
Konferenzort Corfu, Greece
Quellenangaben Band: 2018-January, Heft: , Seiten: 1-6 Artikelnummer: , Supplement: ,
Institut(e) Institute of Epidemiology (EPI)
POF Topic(s) 30202 - Environmental Health
Forschungsfeld(er) Genetics and Epidemiology
PSP-Element(e) G-504000-001
Scopus ID 85049698816
Erfassungsdatum 2019-02-15