ENGLISH

Creating New Medical Ontologies for Image Annotation: A Case Study

By Liana Stanescu , Dumitru Dan Burdescu , Marius Brezovan , Cristian Gabriel Mihai (auth.)

Book information

Publisher
Springer-Verlag New York
Year
2012
ISBN
978-1-4614-1908-2, 978-1-4614-1909-9
DOI
10.1007/978-1-4614-1909-9
Language
english
Format
PDF
Filesize
2 MB (1903335 bytes)
Series
SpringerBriefs in Electrical and Computer Engineering
Edition
1
Pages
111\116
Orientation
yes
Scanned
yes
Time added
2013-08-01 04:00:00
Image and Speech Processing; Imaging / Radiology;Signal

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.

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