NDLI: Including conditional operators in content-based image retrieval in large sets of medical exams

Content Provider	IEEE Xplore Digital Library
Author	Traina Jr., C. Trains, A.J.M. de Figuciredo, J.M.
Copyright Year	2004
Description	Author affiliation: Comput. Sci. Dept., Sao Paulo Univ., Sao Carlos, Brazil (Traina, C., Jr.; Trains, A.J.M.)
Abstract	Content-based image retrieval systems (CBIR) aim at helping in searching large image collections to find those more likely to answer query conditions based on the information represented in the images. To speed up the search process, selected features are extracted from each image when they are stored in the database, so each one is represented by a feature vector. Subsequent image searching operations are performed using the feature vectors in place of the images. The feature extraction algorithms have important issues in CBIR due to the large semantic gap between the low-level features extracted as compared to the high-level, semantic, results expected by the users. A way to approach a semantic analysis of an image, as performed by humans, is to employ a large number of analyzers whose results are processed by a set of rules based on if-then clauses. In this paper we create a framework to define image processing and feature extraction algorithms for CBIR systems as components of a data flow architecture, including an analysis mechanism to interpret images. It is based on decision components that check the results of previously executed feature extractors to choose from a set of configurable execution paths that leads to the creation of the feature vector of each image. In the paper we will describe a real system that has been implemented based on these concepts, which is being used as a teaching tool in a school hospital.
Sponsorship	IEEE Comput. Soc. Tech. Committee on Computational Medicine Texas Tech Univ. College of Eng
Starting Page	85
Ending Page	90
File Size	1130656
Page Count	6
File Format	PDF
ISBN	0769521045
ISSN	10637125
DOI	10.1109/CBMS.2004.1311696
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2004-06-25
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Image retrieval Content based retrieval Biomedical imaging Feature extraction Image analysis Data mining Performance analysis Information retrieval Image databases Spatial databases
Content Type	Text
Resource Type	Article
Subject	Radiology, Nuclear Medicine and Imaging Computer Science Applications

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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