Web-based medical image retrieval system
Journal
Proceedings of the 10th International Multiconference INFORMATION SOCIETY
Date Issued
2007
Author(s)
Gjorgjevikj, Dejan
Loshkovska, Suzana
Abstract
Among the applications of computer science in the
field of medicine, the processing of medical image data
is playing an increasingly important role. With medical
imaging techniques such as X-Ray, computer
tomography, magnetic resonance imaging, and
ultrasound, the amount of digital images that are
produced in hospitals is increasing incredibly fast. Thus
the need for systems that can provide efficient retrieval
of images of particular interest is becoming very high.
The two different approaches used for the
representation of images are: the metadata-based and
the content-based approaches. For very large database
personally describing and annotating every image with
text indices is time-consuming and impractical. In this
paper we propose a content-based image retrieval
system with parallel retrieval engines to achieve higher
retrieval performance and efficiency.
field of medicine, the processing of medical image data
is playing an increasingly important role. With medical
imaging techniques such as X-Ray, computer
tomography, magnetic resonance imaging, and
ultrasound, the amount of digital images that are
produced in hospitals is increasing incredibly fast. Thus
the need for systems that can provide efficient retrieval
of images of particular interest is becoming very high.
The two different approaches used for the
representation of images are: the metadata-based and
the content-based approaches. For very large database
personally describing and annotating every image with
text indices is time-consuming and impractical. In this
paper we propose a content-based image retrieval
system with parallel retrieval engines to achieve higher
retrieval performance and efficiency.
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