Creating New Medical Ontologies for Image Annotation
A Case Study
1st Edition
Published on 16. December 2011
VIII, 111 pages
978-1-4614-1909-9 (ISBN)
Description
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.
More details
Series
Language
English
Place of publication
New York
United States
Publishing group
Springer US
Target group
Professional and scholarly
Product notice
Reflowable
Illustrations
VIII, 111 p. 27 illus., 10 illus. in color.
File size
2,77 MB
ISBN-13
978-1-4614-1909-9 (9781461419099)
DOI
10.1007/978-1-4614-1909-9
Schweitzer Classification
Other editions
Additional editions
Liana Stanescu | Dumitru Dan Burdescu | Marius Brezovan
Creating New Medical Ontologies for Image Annotation
A Case Study
Book
12/2011
Springer
€53.45
Shipment within 15-20 days
Content
Content Based Image Retrieval in Medical Images Databases.- Medical Images Segmentation.- Ontologies.- Medical Images Annotation.- Semantic Based Image Retrieval.- Object Oriented Medical Annotation System.
