Influence function based Gaussianity tests for detection of microcalcifications in mammogram images

buir.contributor.authorÇetin, A. Enis
buir.contributor.orcidÇetin, A. Enis|0000-0002-3449-1958
dc.citation.epage411en_US
dc.citation.spage407en_US
dc.contributor.authorGürcan, M. Nafien_US
dc.contributor.authorYardımcı, Y.en_US
dc.contributor.authorÇetin, A. Enisen_US
dc.coverage.spatialKobe, Japan
dc.date.accessioned2016-02-08T12:02:48Z
dc.date.available2016-02-08T12:02:48Z
dc.date.issued1999-10en_US
dc.departmentDepartment of Electrical and Electronics Engineeringen_US
dc.descriptionDate of Conference: 24-28 Oct. 1999
dc.descriptionConference name: Proceedings 1999 International Conference on Image Processing
dc.description.abstractIn this paper, computer-aided diagnosis of microcalcifications in mammogram images is considered. Microcalcification clusters are an early sign of breast cancer. Microcalcifications appear as single bright spots in mammogram images. We propose an effective method for the detection of these abnormalities. The first step of this method is two-dimensional adaptive filtering. The filtering produces an error image which is divided into overlapping square regions. In each square region, a Gaussianity test is applied. Since microcalcifications have an impulsive appearance, they are treated as outliers. In regions with no microcalcifications, the distribution of the error image is almost Gaussian, on the other hand, in regions containing microcalcification clusters, the distribution deviates from Gaussianity. Using the theory of the influence function and sensitivity curves, we develop a Gaussianity test. Microcalcification clusters are detected using the Gaussianity test. Computer simulation studies are presented.en_US
dc.description.provenanceMade available in DSpace on 2016-02-08T12:02:48Z (GMT). No. of bitstreams: 1 bilkent-research-paper.pdf: 70227 bytes, checksum: 26e812c6f5156f83f0e77b261a471b5a (MD5) Previous issue date: 1999en
dc.identifier.doi10.1109/ICIP.1999.817145
dc.identifier.urihttp://hdl.handle.net/11693/27845
dc.language.isoEnglishen_US
dc.publisherIEEEen_US
dc.relation.isversionofhttps://doi.org/10.1109/ICIP.1999.817145
dc.source.titleProceedings 1999 International Conference on Image Processingen_US
dc.subjectCalcification (biochemistry)en_US
dc.subjectComputer aided analysisen_US
dc.subjectComputer aided diagnosisen_US
dc.subjectComputer simulationen_US
dc.subjectError analysisen_US
dc.subjectFunctionsen_US
dc.subjectImage analysisen_US
dc.subjectOncologyen_US
dc.subjectSensitivity analysisen_US
dc.subjectSignal filtering and predictionen_US
dc.subjectGaussianity testsen_US
dc.subjectMicrocalcificationen_US
dc.subjectMammographyen_US
dc.titleInfluence function based Gaussianity tests for detection of microcalcifications in mammogram imagesen_US
dc.typeConference Paperen_US

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