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Ho, C.P.S.* ; Tromans, C.E.* ; Schnabel, J.A.* ; Brady, M.*

A clustering method for the extraction of microcalcifications using epipolar curves in digital breast tomosynthesis.

In:. Berlin [u.a.]: Springer, 2010. 682-688 (Lect. Notes Comput. Sc. ; 6136 LNCS)
DOI
Open Access Green as soon as Postprint is submitted to ZB.
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.
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Publication type Article: Conference contribution
Corresponding Author
Keywords Clustering ; Dbt ; Digital Breast Tomosynthesis ; Epipolar Curves ; Microcalcifications
ISSN (print) / ISBN 0302-9743
e-ISSN 1611-3349
Journal Lecture Notes in Computer Science
Quellenangaben Volume: 6136 LNCS, Issue: , Pages: 682-688 Article Number: , Supplement: ,
Publisher Springer
Publishing Place Berlin [u.a.]
Non-patent literature Publications
Institute(s) Institute for Machine Learning in Biomed Imaging (IML)