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18th IEEE Symposium on Computer-Based Medical Systems (CBMS'05)
A Graph-Theoretical Clustering Method for Detecting Clusters of Micro-Calcifications in Mammographic Images
Dublin, Ireland
June 23-June 24
ISBN: 0-7695-2355-2
ASCII Text
x 
 
L. P. Cordella, G. Percannella, C. Sansone, M. Vento, "A Graph-Theoretical Clustering Method for Detecting Clusters of Micro-Calcifications in Mammographic Images," Computer-Based Medical Systems, IEEE Symposium on, pp. 15-20, 18th IEEE Symposium on Computer-Based Medical Systems (CBMS'05), 2005.
 
 
BibTex
x
 
@article{ 10.1109/CBMS.2005.8,
author = {L. P. Cordella and G. Percannella and C. Sansone and M. Vento},
title = {A Graph-Theoretical Clustering Method for Detecting Clusters of Micro-Calcifications in Mammographic Images},
journal ={Computer-Based Medical Systems, IEEE Symposium on},
volume = {0},
year = {2005},
issn = {1063-7125},
pages = {15-20},
doi = {http://doi.ieeecomputersociety.org/10.1109/CBMS.2005.8},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Computer-Based Medical Systems, IEEE Symposium on
TI - A Graph-Theoretical Clustering Method for Detecting Clusters of Micro-Calcifications in Mammographic Images
SN - 1063-7125
SP15
EP20
A1 - L. P. Cordella,
A1 - G. Percannella,
A1 - C. Sansone,
A1 - M. Vento,
PY - 2005
KW - null
VL - 0
JA - Computer-Based Medical Systems, IEEE Symposium on
ER -
 
L. P. Cordella, Universit? degli Studi di Napoli "Federico II"
G. Percannella, Universit? degli Studi di Salerno
C. Sansone, Universit? degli Studi di Napoli "Federico II"
M. Vento, Universit? degli Studi di Salerno

In this paper we propose a method based on a graph-theoretical cluster analysis for automatically finding cluster of micro-calcifications in mammographic images. It is applied to the image after a micro-calcification detection phase and is able to cope with the unavoidable false positives that each automatic detection algorithm produces.

The proposed approach has been tested on a standard database of 40 mammographic images and revealed to be very effective even when the detection phase gives rise to several false positives.

Citation:
L. P. Cordella, G. Percannella, C. Sansone, M. Vento, "A Graph-Theoretical Clustering Method for Detecting Clusters of Micro-Calcifications in Mammographic Images," cbms, pp.15-20, 18th IEEE Symposium on Computer-Based Medical Systems (CBMS'05), 2005
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