Detection of cluster of microcalcifications based on watershed segmentation algorithm
Autori: Soda P., Tortorella F., Antani S., Pechenizkiy M., Cannataro M., Tsymbal A., MARROCCO, Claudio, MOLINARA, Mario, TORTORELLA, Francesco, P. Rinaldi, L. Bonomo, A. Ferrarotti, C. Aragno, S. Schiano lo Moriello
Abstract
The presence of clusters of microcalcifications in mam- mograms is particularly significant for early detection of breast cancer. In this paper a Computer Aided Detection system designed for this task is described. The detection of microcalcifications is performed by means of a segmen- tation based on a watershed transform and a further anal- ysis based both on heuristic rules and AdaBoost classifi- cation. Finally a clustering algorithm is applied to detect those clusters of medical interest. The approach has been successfully tested on a Full Field Digital Mammographic database that has been developed through a strong cooper- ation between radiologists and computer scientists.
BibTeX
@article{sodap2012detection,
title={Detection of cluster of microcalcifications based on watershed segmentation algorithm},
author={Soda P. and Tortorella F. and Antani S. and Pechenizkiy M. and Cannataro M. and Tsymbal A. and MARROCCO, Claudio and MOLINARA, Mario and TORTORELLA, Francesco and P. Rinaldi and L. Bonomo and A. Ferrarotti and C. Aragno and S. Schiano lo Moriello},
year={2012},
doi={10.1109/CBMS.2012.6266365}
}