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9781461419082 - Creating New Medical Ontologies for Image Annotation: a Case Study Springerbriefs in Electrical and Computer Engineering by Stanescu, Liana; Burdescu, Dumitru Dan; ... (16 results)
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Creating New Medical Ontologies for Image Annotation : A Case Study
Book 11 of 209: SpringerBriefs in Electrical and Computer EngineeringSeller: GreatBookPricesUK, Woodford Green, United Kingdom
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Creating New Medical Ontologies for Image Annotation: A Case Study (SpringerBriefs in Electrical and Computer Engineering)
Book 11 of 209: SpringerBriefs in Electrical and Computer EngineeringSeller: Ria Christie Collections, Uxbridge, United Kingdom
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Creating New Medical Ontologies for Image Annotation: A Case Study
Book 11 of 209: SpringerBriefs in Electrical and Computer EngineeringUS$ 65.68
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Paperback or Softback. Condition: New. Creating New Medical Ontologies for Image Annotation: A Case Study. Book.
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Creating New Medical Ontologies for Image Annotation : A Case Study
Book 11 of 209: SpringerBriefs in Electrical and Computer EngineeringSeller: GreatBookPricesUK, Woodford Green, United Kingdom
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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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Creating New Medical Ontologies for Image Annotation : A Case Study
Book 11 of 209: SpringerBriefs in Electrical and Computer EngineeringLanguage: English
Published by Springer US, Springer New York, 2011
ISBN 10: 1461419085 ISBN 13: 9781461419082
Taschenbuch. Condition: 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.
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Taschenbuch. Condition: 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.
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Condition: 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.
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Condition: new. Questo è un articolo print on demand.
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Creating New Medical Ontologies for Image Annotation
Book 11 of 209: SpringerBriefs in Electrical and Computer EngineeringLanguage: English
Published by Springer New York Dez 2011, 2011
ISBN 10: 1461419085 ISBN 13: 9781461419082
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: 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.
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Kartoniert / Broschiert. Condition: 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.
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Creating New Medical Ontologies for Image Annotation
Book 11 of 209: SpringerBriefs in Electrical and Computer EngineeringLanguage: English
Published by Springer, Springer Dez 2011, 2011
ISBN 10: 1461419085 ISBN 13: 9781461419082
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: 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.
