Breast Mass Segmentation in Mammographic Images by an Effective Region Growing Algorithm

Authors:
Arianna Mencattini;Giulia Rabottino;Marcello Salmeri;Roberto Lojacono;Emanuele Colini
Affiliations:
University of Rome Tor Vergata, Rome, Italy 00133;University of Rome Tor Vergata, Rome, Italy 00133;University of Rome Tor Vergata, Rome, Italy 00133;University of Rome Tor Vergata, Rome, Italy 00133;University of Rome Tor Vergata, Rome, Italy 00133
Venue:
ACIVS '08 Proceedings of the 10th International Conference on Advanced Concepts for Intelligent Vision Systems
Year:
2008

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Abstract

Breast cancer is the most common cause of death among women and the most effective method for its diagnosis is mammography. However, this kind of analysis is very difficult to interpret and for this reason radiologists miss 20-30% of tumors. We propose a module for the segmentation of masses that can be implemented in a complete CADx (Computer Aided Diagnosis) system. In particular, we implement a new version of the region growing algorithm specific for this kind of images and for the constraints on computation time of this application.