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Springer, Berlin, Heidelberg

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10.1007/s11803-012-0135-z

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Annotation System for Medical Domain

Authors: Cristian Gabriel Mihai, Liana Stanescu, Dumitru Dan Burdescu, Marius Brezovan, Cosmin Stoica Spahiu, Eugen Ganea,

Publish Date: 2011
Volume: , Issue:, Pages: 579-587
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Abstract

Automatic image annotation is the process of assigning meaningful words to an image taking into account its content. This process is of great interest as it allows indexing, retrieving, and understanding of large collections of image data. This paper presents an original image annotation system used in the medical domain. The annotation model used was inspired from the principles defined for Cross Media Relevance Model. The ontology used by the annotation process was created in an original manner starting from the information content provided by the Medical Subject Headings (MeSH).


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