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.
|Titolo:||A Graph-Theoretical Clustering Method for Detecting Clusters of Micro-calcifications in Mammographic Images|
|Autori interni:||PERCANNELLA, Gennaro|
|Data di pubblicazione:||2005|
|Appare nelle tipologie:||4.1.2 Proceedings con ISBN|