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Survey and classification of radiologic image reference databases

  • The aim of this paper is to provide an extendable categorization system for radiologic images reference databases. This categorization system has been applied to all applicable databases which we were able to identify during a thorough survey.

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Metadaten
Name:Gebregiorgis, Aster; Thies, Christian; Burgert, Oliver
DOI:https://doi.org/10.1007/s11548-017-1588-3
ISSN:1861-6410
eISSN:1861-6429
Erschienen in:International journal of computer assisted radiology and surgery. - Vol. 12, 2017, Issue 1, Supplement: CARS 2017. Computer assisted radiology and surgery : proceedings of the 31st International Congress and Exhibition, Barcelona, Spain, June 20-24, 2017
Publisher:Springer
Place of publication:Berlin ; Heidelberg
Editor:Leonard Berliner
Document Type:Article
Language:English
Year of Publication:2017
Tag:classification; evaluation; imaging database; reference database
Volume:12
Issue:Issue 1, Supplement
Pagenumber:3
First Page:185
Last Page:187
Dewey Decimal Classification:610 Medizin, Gesundheit
Open Access:Nein
Licence (German):License Logo  Lizenzbedingungen Springer