Image analysis in epidemiological applications

A rising number of epidemiological studies apply imaging technologies. Images are not features themselves but provide raw data from which features are extracted. Different to other applications of analysis of medical images the data is analyzed statistically across the cohort. It results in unique r...

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Bibliographic Details
Published inInformation technology (Munich, Germany) Vol. 57; no. 1; pp. 22 - 29
Main Authors Toennies, Klaus D., Gloger, Oliver, Rak, Marko, Winkler, Charlotte, Klemm, Paul, Preim, Bernhard, Völzke, Henry
Format Journal Article
LanguageEnglish
Published De Gruyter Oldenbourg 28.02.2015
Subjects
Computing methodologies→Artificial intelligence→Computer vision→Computer vision problems→Image Segmentation
Epidemiology
medical image processing
visual analytics
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ISSN1611-2776
2196-7032
DOI10.1515/itit-2014-1071

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Summary:A rising number of epidemiological studies apply imaging technologies. Images are not features themselves but provide raw data from which features are extracted. Different to other applications of analysis of medical images the data is analyzed statistically across the cohort. It results in unique requirements regarding the development of methods to efficiently integrate varying domain knowledge into the process without compromising comparability of results across subjects or time. Examples from two different strategies are presented and discussed.
ISSN:1611-2776
2196-7032
DOI:10.1515/itit-2014-1071