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DBT provides significantly more information than mammography. This offers new opportunities to improve existing microcalcification detection methods. In a companion work in this volume, we showed that the use of epipolar curves can improve both the sensitivity and specificity of microcalcification detection. In this paper, we develop a clustering algorithm to form epipolar curves from candidate microcalcifications (which may be noise points), obtained after applying a detection algorithm to each individual projection. This enables the subsequent 3D analysis for the classification of microcalcification clusters. © 2010 Springer-Verlag.

Original publication

DOI

10.1007/978-3-642-13666-5_92

Type

Conference paper

Publication Date

21/07/2010

Volume

6136 LNCS

Pages

682 - 688