@inproceedings{fd04dc1c8f85429dbea1e758615076fa,
title = "Abnormal masses in mammograms: Detection using scale-orientation signatures ",
abstract = "We describe a method for labelling image structure based on scale-orientation signatures. These signatures provide a rich and stable description of local structure and can be used as a basis for robust pixel classification. We use a multi-scale directional recursive median filtering technique to obtain local scale-orientation signatures. Our results show that the new method of representation is robust to the presence of both random and structural noise. We demonstrate application to synthetic images containing lines and blob-like features and to mammograms containing abnormal masses. Quantitative results are presented, using both linear and non-linear classification methods.",
author = "Reyer Zwiggelaar and Taylor, \{Christopher J.\}",
note = "Publisher Copyright: {\textcopyright} Springer-Verlag Berlin Heidelberg 1998.; 1st International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI'98 ; Conference date: 11-10-1998 Through 13-10-1998",
year = "1998",
month = oct,
day = "2",
doi = "10.1007/bfb0056242",
language = "English",
isbn = "3540651365",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Nature",
pages = "570--577",
editor = "Wells, \{William M.\} and Alan Colchester and Scott Delp",
booktitle = "Proceedings First International Conference Medical Image Computing and Computer-Assisted Intervention ─ MICCAI 1998",
address = "Switzerland",
}