Content based medical image retrieval based on new efficient local neighborhood wavelet feature descriptor
Author:
Publisher
Springer Science and Business Media LLC
Subject
Biomedical Engineering
Link
http://link.springer.com/content/pdf/10.1007/s13534-019-00112-0.pdf
Reference32 articles.
1. Cai W, Kim J, Feng DD. Content based medical image retrieval. In: Feng D, editor. Biomedical information technology. Amsterdam: Elsevier; 2008. p. 83–113.
2. Kumar A, Kim J, Cai W, Fulham M, Feng D. Content based medical image retrieval: a survey of applications to multidimensional and multimodality data. J Digit Imaging. 2013;26(6):1025–39.
3. Unay D, Ekin A, Jasinschi R. Local structure-based region-of-interest retrieval in brain MR images. IEEE Trans Inf Technol Biomed. 2009;14(4):897–903.
4. Iakovidis DK, Pelekis N, Kotsifakos EE, Kopanakis I, Karanikas H, Theodoridis Y. A pattern similarity scheme for medical image retrieval. IEEE Trans Inf Technol Biomed. 2009;13(4):442–50.
5. Yang L, Jin R, Mummert L, Sukthankar R, Goode A, Zheng B, Hoi SCH, Satyanarayanan M. A boosting framework for visuality-preserving distance metric learning and its application to medical image retrieval. IEEE Trans Pattern Anal Mach Intell. 2010;32(1):30–44.
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