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Item Details
| Title:
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CREATING NEW MEDICAL ONTOLOGIES FOR IMAGE ANNOTATION
A CASE STUDY |
| By: |
Liana Stanescu, Dumitru Dan Burdescu, Marius Brezovan |
| Format: |
Paperback |
| List price:
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£44.99 |
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We currently do not stock this item, please contact the publisher directly for
further information.
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| ISBN 10: |
1461419085 |
| ISBN 13: |
9781461419082 |
| Publisher: |
SPRINGER-VERLAG NEW YORK INC. |
| Pub. date: |
15 December, 2011 |
| Edition: |
2012 |
| Series: |
SpringerBriefs in Electrical and Computer Engineering |
| Pages: |
111 |
| Description: |
Focuses on the problem of the medical images automatic annotation process, which is solved in an original manner by the authors. In this title, all the steps of this process are described in detail with algorithms, experiments and results. It also compares the original algorithms proposed by authors with other efficient similar algorithms. |
| Synopsis: |
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. |
| Illustrations: |
12 Tables, black and white; 10 Illustrations, color; 17 Illustrations, |
| Publication: |
US |
| Imprint: |
Springer-Verlag New York Inc. |
| Returns: |
Returnable |
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