Paper Info
Title
A Distributed Genetic Algorithm for Parameters Optimization to Detect Microcalcifications in Digital Mammograms
Abstract
In this paper, we investigate the improvement obtained by applying a distributed genetic algorithm to a problem of parameter optimization in medical images analysis. We setup a method for the detection of clustered microcalcifications in digital mammograms, based on statistical techniques and multiresolution analysis by means of wavelet transform. The optimization of this scheme requires multiple runs on a set of 40 images, in order to obtain relevant statistics. We aim to evaluate how fluctuations of some parameters values of the detection method influence the performance of our system. A distributed genetic algorithm supervising this process allowed to improve of some percents previous results obtained after having "hand tuned" these parameters for a long time. At last, we have been able to find out parameters not influencing performance at all.
Year
DOI
Venue
2001
10.1007/3-540-45365-2_29
EvoWorkshops
Keywords
Field
DocType
genetic algorithm,long time,multiresolution analysis,parameters value,digital mammograms,detect microcalcifications,detection method influence,parameter optimization,parameters optimization,medical images analysis,multiple run,percents previous result,wavelet transform
Computer science,Multiresolution analysis,Algorithm,Image processing,Distributed algorithm,Distributed parameter system,Order statistic,Genetic algorithm,Wavelet transform,Statistical analysis
Conference
ISBN
Citations 
PageRank 
3-540-41920-9
5
0.70
References 
Authors
3
3
Name
Order
Citations
PageRank
Alessandro Bevilacqua120026.45
R Campanini2308.71
Nico Lanconelli382.96