Computer Aided Detection of Clustered Microcalcifications in Digitized Mammograms Using Gabor Functions

Authors:
Ezio Catanzariti;Monica Ciminello;Roberto Prevete
Affiliations:
-;-;-
Venue:
ICIAP '03 Proceedings of the 12th International Conference on Image Analysis and Processing
Year:
2003

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Cited 1

Mass detection in mammograms using gabor filters and fuzzy clustering

WILF'05 Proceedings of the 6th international conference on Fuzzy Logic and Applications

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Abstract

This paper presents a multiresolution approach to the computer aided detection of clustered microcalcifications in digitized mammograms based on Gabor elementary functions. A bank of Gabor functions with varying spatial extent and tuned to different spatial frequencies is used for the extraction of microcalcifications characteristics. Classification is performed by an Artificial Neural Network with supervised learning.First results show that most microcalcifications, isolated or clustered, are detected by our algorithm with a 95% value both for sensibility and specificity as measured on a test data set.