Detection of Clustered Microcalcifications with SUSAN Edge Detector, Adaptive Contrast Thresholding and Spatial Filters

Authors:
G. Veni;E. E. Regentova;L. Zhang
Affiliations:
Department of Electrical and Computer Engineering, University of Nevada, Las Vegas, Las Vegas, USA 89154;Department of Electrical and Computer Engineering, University of Nevada, Las Vegas, Las Vegas, USA 89154;Department of Electrical and Computer Engineering, University of Nevada, Las Vegas, Las Vegas, USA 89154
Venue:
ICIAR '08 Proceedings of the 5th international conference on Image Analysis and Recognition
Year:
2008

Citing 1
Cited 3

SUSAN—A New Approach to Low Level Image Processing

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Edges Detection of Clusters of Microcalcifications with SOM and Coordinate Logic Filters

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Detection of Microcalcifications Using Coordinate Logic Filters and Artificial Neural Networks

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Detection and classification of calcifications in digital mammograms by multi-scale and multi-position

International Journal of Computational Science and Engineering

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Abstract

Clustered microcalcifications (MCs) are detected in digital mammograms using SUSAN edge detector and adaptive contrast thresholding technique. MC clusters are found using spatial filters. Based on that a computer aided diagnostic prompting system is developed which achieves 97.4 % of true positive clusters at very low false positive rates according to the trial of 100 patches with the signs of both benign and malignant nature taken from the DDSM database mammograms