Creating New Medical Ontologies for Image Annotation: A Case Study
Language: English
Published by Springer 2011-12, 2011
Series: Book 11 of 209 - SpringerBriefs in Electrical and Computer Engineering
- Softcover
- New
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- Title
- Creating New Medical Ontologies for Image Annotation: A Case Study
- Author
- Stanescu, Liana
- Publisher
- Springer 2011-12
- Publication year
- 2011
- Condition
- New
- Binding
- PF
- Language
- English
- ISBN 10
- 1461419085
- ISBN 13
- 9781461419082
- Series
- Book 11 of 209: SpringerBriefs in Electrical and Computer Engineering
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.
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.
"Synopsis" may belong to another edition of this title.
From the Back Cover
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.
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.
"About the title" may belong to another edition of this title.
Chiron Media
Wallingford, United Kingdom
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