Abstract
We propose an algorithm for automatic, accurate detection of the nipple location on digitized mammograms. The nipple is the principal anatomical landmark on the breast. The proposed algorithm segments the “fat-band” present in the breast edge. The location of the nipple is detected from the curvature of the outline of this band.
Chapter PDF
Similar content being viewed by others
Keywords
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2003 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Petroudi, S., Brady, M. (2003). Automatic Nipple Detection on Mammograms. In: Ellis, R.E., Peters, T.M. (eds) Medical Image Computing and Computer-Assisted Intervention - MICCAI 2003. MICCAI 2003. Lecture Notes in Computer Science, vol 2879. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-39903-2_128
Download citation
DOI: https://doi.org/10.1007/978-3-540-39903-2_128
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-20464-0
Online ISBN: 978-3-540-39903-2
eBook Packages: Springer Book Archive