@inproceedings{b48730da5a924f0da82e881584548817,
title = "Multi-scale Tree-Based Topological Modelling and Classification of Micro-calcifications",
abstract = "We propose a novel method for the classification of benign and malignant micro-calcifications using a multi-scale tree-based modelling approach. By taking the connectivity between individual calcifications into account, micro-calcification trees were build at multiple scales along with the extraction of several tree related micro-calcification features. We interlinked the distribution aspect of calcifications with the tree structures at each scale. Classification results show an accuracy of 85% for MIAS and 79% for DDSM, which is in-line with the state-of-the-art methods.",
author = "Zobia Suhail and Reyer Zwiggelaar",
note = "Publisher Copyright: {\textcopyright} 2020, Springer Nature Switzerland AG.",
year = "2020",
month = jan,
day = "24",
doi = "10.1007/978-3-030-39343-4_5",
language = "English",
isbn = "978-3-030-39342-7",
series = "Communications in Computer and Information Science",
publisher = "Springer Nature",
pages = "48--58",
editor = "Yalin Zheng and Williams, {Bryan M.} and Ke Chen",
booktitle = "Medical Image Understanding and Analysis",
address = "Switzerland",
}