IJERT-EMS
IJERT-EMS

Content-Based Image Retrieval System in Medical Applications


Content-Based Image Retrieval System in Medical Applications
Authors : R. Senthil Kumar, Dr. M. Senthilmurugan
Publication Date: 07-03-2013

Authors

Author(s):  R. Senthil Kumar, Dr. M. Senthilmurugan

Published in:   International Journal of Engineering Research & Technology

License:  This work is licensed under a Creative Commons Attribution 4.0 International License.

Website: www.ijert.org

Volume/Issue:   Vol.2 - Issue 3 (March - 2013)

e-ISSN:   2278-0181

Abstract

Abstract? Content-based visual information retrieval (CBVIR) or Content-based image retrieval (CBIR) has been one of the most vivid research areas in the field of computer vision over the last 10 years. In the medical field, especially digital images, are produced in ever increasing quantities and used for diagnostics and therapy. The Radiology Department of the university Hospital of Geneva alone produced more than 25,000 images a day in 2012, The cardiology is currently the second largest producer of digital images with digital imaging and communication in medical (DICOM), a standard for image communication has been set and patient information can be stored with the actual images. The main aim of this paper is to improve the overall CBIR system Performance using medical applications.

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