@inproceedings{2dd86e8d169a4398b09400a4cb080350,
title = "Automatic Classification of Linear Structures in Mammographic Images",
abstract = "Certain kinds of abnormalities in x-ray mammograms are associated with specific anatomical structures – in particular, linear structures. This association can, in principle, be exploited to improve the specificity and sensitivity with which the abnormalities can be detected. We compare annotated and the automatic detection of the scale and orientation associated with linear structure in mammograms. We investigate methods of classifying the detected structures into anatomical classes (spicules, vessel, duct, fibrous tissue etc) from their cross-sectional profiles. Automatic (linear and non-linear) classification results are compared with expert annotations using receiver operating characteristic analysis. We show that useful discrimination between anatomical classes is achieved. Some of this relies on simple attributes such as the width and contrast of the profile, but there is also important information carried by the shape of the profile.",
keywords = "linear structure, line operator, digital mammography, principal component analysis model, mammographic image",
author = "Reyer Zwiggelaar and Taylor, {Christopher J.} and Caroline Boggis",
note = "Publisher Copyright: {\textcopyright} Springer-Verlag Berlin Heidelberg 1999.; Second International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI'99 ; Conference date: 19-09-1999 Through 22-09-1999",
year = "1999",
month = sep,
day = "8",
doi = "10.1007/10704282_29",
language = "English",
isbn = "354066503X",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Nature",
pages = "263--272",
editor = "Chris Taylor and Alain Colchester",
booktitle = "Medical Image Computing and Computer-Assisted Intervention –MICCAI 1999 - 2nd International Conference, Proceedings",
address = "Switzerland",
}