Abstract
We proposed a concept of content-based image retrieval and demonstrated the potential usefulness in mammography. The approach incorporated a local-pattern matching method based on Nth-order autocorrelation features with KL expansion (principal components analysis) to retrieve similar mass shadows on digitized screen/film mammograms. We confirmed the tendency that similar mass images were retrieved as the initial studies by using the 75 images of mammographic masses.
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© 2003 Springer-Verlag Berlin Heidelberg
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Nakagawa, T., Hara, T., Fujita, H., Iwase, T., Endo, T. (2003). Image retrieval system of mammographie masses by using local pattern matching technique. In: Peitgen, HO. (eds) Digital Mammography. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-59327-7_132
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DOI: https://doi.org/10.1007/978-3-642-59327-7_132
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-63936-4
Online ISBN: 978-3-642-59327-7
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