RT Journal Article
JF Proceedings of the 26th IEEE International Symposium on Computer-Based Medical Systems
YR 2002
VO 00
IS
SP 327
TI Content-Based and Metadata Retrieval in Medical Image Database
A1 Richard Chbeir,
A1 Lionel Brunie,
A1 Solomon Atnafu,
K1 null
AB The need for systems that can stock, represent, and provide efficient retrieval facilities of 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 the standard data processing environments. The two different approaches used for the representation of images are: the metadata-based and the content-based approaches. Users in medicine need queries that use both content-based and metadata representation of images or salient objects. In this paper, we first present a global image data model that supports both metadata 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 permit to integrate 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.
PB IEEE Computer Society, [URL:http://www.computer.org]
SN 1063-7125
LA English
DO 10.1109/CBMS.2002.1011398
LK http://doi.ieeecomputersociety.org/10.1109/CBMS.2002.1011398