@inproceedings{f6c046220d0c4f8c8dd0d70da6aed3c1,
title = "Multi-scale morphological feature extraction for the classification of micro-calcifications",
abstract = "Mammography is considered the most appropriate method to defeat breast cancer in population screening. Although mammography is used for the detection of micro-calcifications, the benign/malignant classification relies on subsequent histology assessment. We describe a novel method for the automatic classification of benign and malignant micro-calcifications directly from mammographic images, which uses the morphology as well as the distribution aspects of micro-calcifications and is directly associated with the BIRADS categorization of microcalcifications. The developed approach is building on Iwanowski{\textquoteright}s morphology work, but is adding class-extractors and multi-scale aspects. Translation to other application areas is discussed and evaluation based on the MIAS and DDSM datasets show results in line with state of-the-art micro-calcifications classification approaches.",
keywords = "Benign, Breast Cancer, Malignant, Micro-calcification, Morphology",
author = "Zobia Suhail and Denton, {Erika R. E.} and Reyer Zwiggelaar",
note = "Publisher Copyright: {\textcopyright} 2018 SPIE.; The 14th International Workshop of Breast Imaging, IWBI 2018 ; Conference date: 08-07-2018 Through 11-07-2018",
year = "2018",
month = jul,
day = "6",
doi = "10.1117/12.2317726",
language = "English",
isbn = "9781510620070",
series = "Progress in Biomedical Optics and Imaging - Proceedings of SPIE",
publisher = "SPIE",
pages = "276--283",
editor = "Krupinski, {Elizabeth A.}",
booktitle = "14th International Workshop on Breast Imaging (IWBI 2018)",
address = "United States of America",
}
