@inproceedings{3ad77c30156f43cb92767ae15cb98b12,
title = "Classification of Microcalcification Clusters Based on Morphological Topology Analysis",
abstract = "The presence of microcalcification clusters is a primary sign of breast cancer. It is difficult and time consuming for radiologists to diagnose microcalcifications. In this paper, we present a novel method for classification of malignant and benign microcalcification clusters in mammograms. We analyse the connectivity/topology between individual microcalcifications within a cluster using multiscale morphology. A microcalcification graph is constructed to represent the topological structure of clusters. A multiscale topological feature vector is generated by extracting two microcalcification graph properties. The validity of the proposed method is evaluated using a dataset taken from the MIAS database. The performance of including SFS feature selection is investigated. Using a k-nearest neighbour classifier, a classification accuracy of 95% and an area under the ROC curve of 0.93 are achieved. A comparison with existing approaches is presented.",
author = "Zhili Chen and Denton, {Erika R. E.} and Reyer Zwiggelaar",
year = "2012",
month = jun,
day = "22",
doi = "10.1007/978-3-642-31271-7_67",
language = "English",
isbn = "978-3-642-31270-0",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Nature",
pages = "521--528",
editor = "Maidment, {Andrew D. A.} and Bakic, {Predrag R.} and Sara Gavenonis",
booktitle = "Breast Imaging - 11th International Workshop, IWDM 2012, Proceedings",
address = "Switzerland",
note = "11th International Workshop on Breast Imaging : IWDM 2012 ; Conference date: 08-07-2012 Through 11-07-2012",
}
