Detection of microcalcifications in mammograms using local maxima and adaptive wavelet transform analysis
buir.contributor.author | Çetin, A. Enis | |
buir.contributor.orcid | Çetin, A. Enis|0000-0002-3449-1958 | |
dc.citation.epage | 1313 | en_US |
dc.citation.issueNumber | 22 | en_US |
dc.citation.spage | 1311 | en_US |
dc.citation.volumeNumber | 38 | en_US |
dc.contributor.author | Bagci, A. M. | en_US |
dc.contributor.author | Çetin, A. Enis | en_US |
dc.date.accessioned | 2019-02-01T08:49:31Z | |
dc.date.available | 2019-02-01T08:49:31Z | |
dc.date.issued | 2002-10-24 | en_US |
dc.department | Department of Electrical and Electronics Engineering | en_US |
dc.description.abstract | A method for computer-aided diagnosis of microcalcification clusters in mammogram images is presented. Microcalcification clusters which are an early sign of breast cancer appear as isolated bright spots in mammograms. Therefore they correspond to local maxima of the image. The local maxima of the image is first detected and they are ranked according to a higher-order statistical test performed over the subband domain data. | en_US |
dc.description.provenance | Submitted by Ebru Kaya (ebrukaya@bilkent.edu.tr) on 2019-02-01T08:49:31Z No. of bitstreams: 1 Detection_of_microcalcifications_in_mammograms_using_local_maxima_and_adaptive_wavelet_transform_analysis.pdf: 280324 bytes, checksum: 3ac13a253bd843064d0ada574358a08d (MD5) | en |
dc.description.provenance | Made available in DSpace on 2019-02-01T08:49:31Z (GMT). No. of bitstreams: 1 Detection_of_microcalcifications_in_mammograms_using_local_maxima_and_adaptive_wavelet_transform_analysis.pdf: 280324 bytes, checksum: 3ac13a253bd843064d0ada574358a08d (MD5) Previous issue date: 2002-10-24 | en |
dc.identifier.doi | 10.1049/el:20020907 | en_US |
dc.identifier.issn | 0013-5194 | |
dc.identifier.uri | http://hdl.handle.net/11693/48701 | |
dc.language.iso | English | en_US |
dc.publisher | The Institution of Engineering and Technology | en_US |
dc.publisher | (IET) | en_US |
dc.relation.isversionof | http://dx.doi.org/10.1049/el:20020907 | en_US |
dc.source.title | Electronics Letters | en_US |
dc.subject | Mammography | en_US |
dc.subject | Medical image processing | en_US |
dc.subject | Wavelet transforms | en_US |
dc.subject | Least mean squares methods | en_US |
dc.subject | Higher order statistics | en_US |
dc.subject | Microcalcification clusters | en_US |
dc.subject | Computer-aided diagnosis | en_US |
dc.subject | Mammogram images | en_US |
dc.subject | Breast cancer | en_US |
dc.subject | Isolated bright spots | en_US |
dc.subject | Higher-order statistical test | en_US |
dc.subject | Subband domain data | en_US |
dc.subject | Adaptive wavelet transform analysis | en_US |
dc.subject | Local maxima | en_US |
dc.subject | Least mean square algorithm | en_US |
dc.subject | Filterbank structure | en_US |
dc.title | Detection of microcalcifications in mammograms using local maxima and adaptive wavelet transform analysis | en_US |
dc.type | Article | en_US |
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