Creating New Medical Ontologies for Image Annotation, 2012 A Case Study SpringerBriefs in Electrical and Computer Engineering Series
Auteurs : Stanescu Liana, Burdescu Dumitru Dan, Brezovan Marius, Mihai Cristian Gabriel
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.
Introduces a new algorithm for color images segmentation, based on a hexagonal grid, with very good results
Covers a high number of experiments effectuated on a database with thousands of color medical images from digestive tract that are rarely used in medical annotation systems
Annotation system uses an object-oriented model of the medical images database
Date de parution : 12-2011
Ouvrage de 111 p.
15.5x23.5 cm
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