NDLI: Automated feedback extraction for medical imaging retrieval

Content Provider	IEEE Xplore Digital Library
Author	Weidong Cai Fan Zhang Yang Song Sidong Liu Lingfeng Wen Eberl, S. Fulham, M. Dagan Feng
Copyright Year	2014
Description	Author affiliation: BMIT Res. Group, Univ. of Sydney, Sydney, NSW, Australia (Weidong Cai; Fan Zhang; Yang Song; Sidong Liu; Dagan Feng) \|\| Dept. of PET & Nucl. Med., R. Prince Alfred Hosp., Sydney, NSW, Australia (Lingfeng Wen; Eberl, S.; Fulham, M.)
Abstract	Content-based image retrieval (CBIR) has been widely used in many medical applications by providing objective depictions and the initial screening to facilitate the manual interpretations by the radiologists. To achieve accurate retrieval results, relevance feedback is usually incorporated into CBIR to refine the retrieved items, but its effectiveness is restricted by the huge number of medical cases. Therefore, in this study we propose an automated feedback extraction method to exclude the involvement of radiologists. Instead of incorporating the feedbacks from them, the similarity relationship between the initial retrieval results and all candidate images is used to indicate the preferences of these retrieved items regarding to the query, i.e., relevance or irrelevance, and to further re-rank the candidates. The experimental results on a publicly available brain image dataset for neurodegenerative disorder diagnosis demonstrate the promising retrieval performance of the proposed method.
Starting Page	907
Ending Page	910
File Size	784603
Page Count	4
File Format	PDF
ISBN	9781467319614
DOI	10.1109/ISBI.2014.6868018
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-04-29
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Feature extraction Medical diagnostic imaging Image retrieval Integrated circuits Vectors Alzheimer's disease automated relevance feedback medical imaging CBIR
Content Type	Text
Resource Type	Article

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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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