NDLI: Content-based and metadata retrieval in medical image database

Content Provider	IEEE Xplore Digital Library
Author	Atnafu, S. Chbeir, R. Brunie, L.
Copyright Year	2002
Description	Author affiliation: Lab. d'Ingenierie des Syst. d'Inf., Inst. Nat. des Sci. Appliquees de Lyon, Villeurbanne, France (Atnafu, S.; Chbeir, R.; Brunie, L.)
Abstract	The need for systems that can store, represent and provide efficient retrieval facilities for images of particular interest is becoming very high in medicine. In this respect, a lot of work has been done to integrate image data in standard data processing environments. The two different approaches that are used for the representation of images are the meta-data and the content-based approaches. Users in medicine need queries that use both content-based and meta-data representations of images or salient objects. In this paper, we first present a global image data model that supports both meta-data and low-level descriptions of images and their salient objects. This allows us to make multi-criteria image retrieval (context-, semantic- and content-based queries). Then, we present an image data repository model that captures all the data described in the model and permits the integration of heterogeneous operations in a DBMS. In particular, content-based operations (content-based join and selection) in combination with traditional ones can be carried out using our model.
Sponsorship	IEEE Comput. Soc. Tech. Committee on Comput. Med. Univ. Maribor, Faculty of Electr. Eng. & Comput. Sci
Starting Page	327
Ending Page	332
File Size	486600
Page Count	6
File Format	PDF
ISBN	0769516149
ISSN	10637125
DOI	10.1109/CBMS.2002.1011398
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2002-06-04
Publisher Place	Slovenia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Information retrieval Image retrieval Content based retrieval Biomedical imaging Image databases Data models Data processing Image representation Thesauri Proposals
Content Type	Text
Subject	Radiology, Nuclear Medicine and Imaging Computer Science Applications

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