Detection of microcalcifications in mammograms using higher order statistics

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buir.contributor.authorÇetin, A. Enis
buir.contributor.orcidÇetin, A. Enis|0000-0002-3449-1958
dc.citation.epage216en_US
dc.citation.issueNumber8en_US
dc.citation.spage213en_US
dc.citation.volumeNumber4en_US
dc.contributor.authorGürcan, M. N.en_US
dc.contributor.authorYardımcı, Y.en_US
dc.contributor.authorÇetin, A. Enisen_US
dc.contributor.authorAnsari, R.en_US
dc.date.accessioned2015-07-28T11:56:28Z
dc.date.available2015-07-28T11:56:28Z
dc.date.issued1997-08en_US
dc.departmentDepartment of Electrical and Electronics Engineeringen_US
dc.description.abstractA new method for detecting microcalcifications in mammograms is described. In this method, the mammogram image is first processed by a subband decomposition filterbank. The bandpass subimage is divided into overlapping square regions in which skewness and kurtosis as measures of the asymmetry and impulsiveness of the distribution are estimated. The detection method utilizes these two parameters. A region with high positive skewness and kurtosis is marked as a region of interest. Simulation results show that this method is successful in detecting regions with microcalcifications.en_US
dc.description.provenanceMade available in DSpace on 2015-07-28T11:56:28Z (GMT). No. of bitstreams: 1 10.1109-97.611278.pdf: 85364 bytes, checksum: ec4ec114df5dbf9638ccc422c946b506 (MD5)en
dc.identifier.doi10.1109/97.611278en_US
dc.identifier.issn1070-9908
dc.identifier.urihttp://hdl.handle.net/11693/10986
dc.language.isoEnglishen_US
dc.publisherInstitute of Electrical and Electronics Engineersen_US
dc.relation.isversionofhttp://dx.doi.org/10.1109/97.611278en_US
dc.source.titleIEEE Signal Processing Lettersen_US
dc.subjectComputer-aided Diagnosisen_US
dc.subjectHigher order statisticsen_US
dc.subjectMammogram imagesen_US
dc.subjectMicrocalcificationsen_US
dc.titleDetection of microcalcifications in mammograms using higher order statisticsen_US
dc.typeArticleen_US

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