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Creating new medical ontologies for image annotation [Elektronski vir] : a case studyAnnotation. Creating New Medical Ontologies for Image Annotation focuses on the problem of the medical images automatic annotation process, which is solved in an original manner by the authors. All ... the steps of this process are described in detail with algorithms, experiments and results. The original algorithms proposed by authors are compared with other efficient similar algorithms. In addition, the authors treat the problem of creating ontologies in an automatic way, starting from Medical Subject Headings (MESH). They have presented some efficient and relevant annotation models and also the basics of the annotation model used by the proposed system: Cross Media Relevance Models. Based on a text query the system will retrieve the images that contain objects described by the keywords.Vrsta gradiva - e-knjigaZaložništvo in izdelava - New York, NY : Springer, ©2012Jezik - angleškiISBN - 978-1-4614-1909-9; 1-4614-1909-3; 1-4614-1908-5; 978-1-4614-1908-2COBISS.SI-ID - 1544661983
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SpringerLink e-books 2008-2012Celotno besedilo dostopno za uporabnike SpringerLink slovenskega konzorcija neprofitnih institucij
Full text accessible to the users of SpringerLink Slovenian Consortium of Non-Profit Institutions
DOI
Drugi avtorji
Stanescu, Liana
Teme
Diagnostic imaging |
Data processing |
Ontologies (Information retrieval) |
Diagnostic Imaging |
Image Processing, Computer-Assisted |
Information Storage and Retrieval |
MEDICAL |
Diagnosis |
MEDICAL |
Diagnostic Imaging |
Ingénierie |
Diagnostic imaging |
Data processing |
Ontologies (Information retrieval) |
Imaging Systems In Medicine |
Electronic books |
Electronic books
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