Creating New Medical Ontologies for Image Annotation
A Case Study
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ISBN-13:
9781461419082
Veröffentl:
2011
Einband:
Paperback
Erscheinungsdatum:
15.12.2011
Seiten:
120
Autor:
Liana Stanescu
Gewicht:
195 g
Format:
235x155x7 mm
Serie:
SpringerBriefs in Electrical and Computer Engineering
Sprache:
Englisch
Beschreibung:
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.
Introduces a new algorithm for color images segmentation, based on a hexagonal grid, with very good results
Content Based Image Retrieval in Medical Images Databases.- Medical Images Segmentation.- Ontologies.- Medical Images Annotation.- Semantic Based Image Retrieval.- Object Oriented Medical Annotation System.
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