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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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Author of HS ReutlingenGebregiorgis, 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:Journal article
Language:English
Publication year:2017
Tag:classification; evaluation; imaging database; reference database
Volume:12
Issue:Issue 1, Supplement
Page Number:3
First Page:185
Last Page:187
DDC classes:610 Medizin, Gesundheit
Open access?:Nein
Licence (German):License Logo  In Copyright - Urheberrechtlich geschützt