@inproceedings{99efa87d8690431a8e27824cea809fc1,
title = "A clustering method for the extraction of microcalcifications using epipolar curves in digital breast tomosynthesis",
abstract = "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.",
keywords = "DBT, clustering, digital breast tomosynthesis, epipolar curves, microcalcifications",
author = "Ho, {Candy P.S.} and Tromans, {Christopher E.} and Schnabel, {Julia A.} and Michael Brady",
year = "2010",
doi = "10.1007/978-3-642-13666-5_92",
language = "English",
isbn = "3642136656",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
pages = "682--688",
booktitle = "Digital Mammography - 10th International Workshop, IWDM 2010, Proceedings",
note = "10th International Workshop on Digital Mammography, IWDM 2010 ; Conference date: 16-06-2010 Through 18-06-2010",
}