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Creating New Medical Ontologies for Image Annotation: A Case Study (SpringerBriefs in Electrical and Computer Engineering) - Softcover
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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.
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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.
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Creating New Medical Ontologies for Image Annotation : A Case Study
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Creating New Medical Ontologies for Image Annotation
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Springer New York, 2011
ISBN 10: 1461419085
ISBN 13: 9781461419082
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Kartoniert / Broschiert. Zustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Introduces a new algorithm for color images segmentation, based on a hexagonal grid, with very good resultsCovers a high number of experiments effectuated on a database with thousands of color medical images from digestive tract that are rarely us. Bestandsnummer des Verkäufers 4197279
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Creating New Medical Ontologies for Image Annotation
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Springer US, Springer New York Dez 2011, 2011
ISBN 10: 1461419085
ISBN 13: 9781461419082
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Taschenbuch. Zustand: Neu. Neuware -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.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 120 pp. Englisch. Bestandsnummer des Verkäufers 9781461419082
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Creating New Medical Ontologies for Image Annotation
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Taschenbuch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 120 pp. Englisch. Bestandsnummer des Verkäufers 9781461419082
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Creating New Medical Ontologies for Image Annotation : A Case Study
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Springer US, Springer New York, 2011
ISBN 10: 1461419085
ISBN 13: 9781461419082
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Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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. Bestandsnummer des Verkäufers 9781461419082
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Creating New Medical Ontologies for Image Annotation: A Case Study (SpringerBriefs in Electrical and Computer Engineering)
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Creating New Medical Ontologies for Image Annotation: A Case Study
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Creating New Medical Ontologies for Image Annotation: A Case Study
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Creating New Medical Ontologies for Image Annotation: A Case Study (SpringerBriefs in Electrical and Computer Engineering / SpringerBriefs in Speech Technology)
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Stanescu:Creating New Medical Ontologie (eng)
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