Creating New Medical Ontologies for Image Annotation: A Case Study
Liana Stanescu
ISBN 10: 1461419085 ISBN 13: 9781461419082
Editore: Springer-Verlag New York Inc., 2011
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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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Titolo: Creating New Medical Ontologies for Image ...
Casa editrice: Springer-Verlag New York Inc.
Data di pubblicazione: 2011
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Creating New Medical Ontologies for Image Annotation : A Case Study
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Condizione: Sehr gut. Zustand: Sehr gut | Sprache: Englisch | Produktart: Bücher | 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. Codice articolo 11234134/12
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Creating New Medical Ontologies for Image Annotation
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ISBN 10: 1461419085
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Kartoniert / Broschiert. Condizione: 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. Codice articolo 4197279
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Creating New Medical Ontologies for Image Annotation | A Case Study
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Taschenbuch. Condizione: Neu. Creating New Medical Ontologies for Image Annotation | A Case Study | Liana Stanescu (u. a.) | Taschenbuch | SpringerBriefs in Electrical and Computer Engineering | viii | Englisch | 2011 | Springer | EAN 9781461419082 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu. Codice articolo 106780759
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Creating New Medical Ontologies for Image Annotation
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ISBN 10: 1461419085
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Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. 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 KG, Sachsenplatz 4-6, 1201 Wien 120 pp. Englisch. Codice articolo 9781461419082
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Creating New Medical Ontologies for Image Annotation
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Taschenbuch. Condizione: 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. Codice articolo 9781461419082
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Creating New Medical Ontologies for Image Annotation: A Case Study (Paperback or Softback)
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ISBN 13: 9781461419082
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Paperback or Softback. Condizione: New. Creating New Medical Ontologies for Image Annotation: A Case Study. Book. Codice articolo BBS-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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