NDLI: Dementia diagnosis using similar and dissimilar retrieval items

Content Provider	IEEE Xplore Digital Library
Author	Unay, D. Ekin, A.
Copyright Year	2011
Description	Author affiliation: Video Processing and Analysis Group, Philips Research, Eindhoven, The Netherlands (Ekin, A.) \|\| Electrical and Electronics Engineering, Bahcesehir University, Istanbul, Turkey (Unay, D.)
Abstract	Image-based disease diagnosis often requires radiologists' qualitative interpretations that are highly dependent on their levels of expertise, and physical and mental status. Automated image analysis tools can help radiologists increase the diagnosis accuracy by providing quantitative measures. Accordingly, this paper presents an automated method for dementia diagnosis using search and retrieval of brain MR (magnetic resonance) images. The main contributions of the method are 1)its generic decision-making based on similar and dissimilar cases retrieved from a database that can be used to diagnose various brain disorders, 2)it realizes dementia diagnosis utilizing a tailored version of histogram of oriented gradients (HOGs) as features, and 3)it achieves high performance in dementia diagnosis that is independent of the database size. Comprehensive experiments with real data showed that combining information from similar and dissimilar cases leads to improved diagnostic accuracy than using similar or dissimilar cases alone, accuracy diminishes with extreme quantization of the HOGs and with small databases, and our method achieves high performance with comparable sensitivity score to the most skilled experts at better specificity figures.
Starting Page	1889
Ending Page	1892
File Size	631012
Page Count	4
File Format	PDF
ISBN	9781424441273
ISSN	19457928
DOI	10.1109/ISBI.2011.5872777
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-03-30
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Dementia Databases Histograms Quantization Feature extraction brain MRI Image retrieval based dementia diagnosis similar and dissimilar cases Histogram of Oriented Gradients
Content Type	Text
Resource Type	Article

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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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