Creating new medical ontologies for image annotation : a case study / Liana Stanescu ... [et al.].

"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 alg...

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Bibliographic Details
Corporate Author: SpringerLink ebooks - Engineering (2012)
Other Authors: Stanescu, Liana
Format: Ebook
Language:English
Published: New York : Springer, c2012.
Series:SpringerBriefs in electrical and computer engineering.
Subjects:
Online Access:Springer eBooks
Description
Summary:"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."--Publisher's website.
Item Description:Description based on print version record.
Physical Description:1 electronic document.
Format:Mode of access: World Wide Web.
Bibliography:Includes bibliographical references.
ISBN:1283445883
1461419093
9781283445887
9781461419099
ISSN:2191-8112
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