Mammographic mass detection using a mass template

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dc.authoridTR29371en_US
dc.authoridTR13219en_US
dc.authoridTR5913en_US
dc.contributor.authorÖzekes, Serhat
dc.contributor.authorOsman, Onur
dc.contributor.authorCamurcu, Ali Yılmaz
dc.date.accessioned2015-09-15T07:38:22Z
dc.date.available2015-09-15T07:38:22Z
dc.date.issued2005en_US
dc.departmentMeslek Yüksekokulları, Meslek Yüksek Okulu, Bilgisayar Teknolojileri Bölümüen_US
dc.description.abstractObjective: The purpose of this study was to develop a new method for automated mass detection in digital mammographic images using templates. Materials and Methods: Masses were detected using a two steps process. First, the pixels in the mammogram images were scanned in 8 directions, and regions of interest (ROI) were identified using various thresholds. Then, a mass template was used to categorize the ROI as true masses or non-masses based on their morphologies. Each pixel of a ROI was scanned with a mass template to determine whether there was a shape (part of a ROI) similar to the mass in the template. The similarity was controlled using two thresholds. If a shape was detected, then the coordinates of the shape were recorded as part of a true mass. To test the system's efficiency, we applied this process to 52 mammogram images from the Mammographic Image Analysis Society (MIAS) database. Results: Three hundred and thirty-two ROI were identified using the ROI specification methods. These ROI were classified using three templates whose diameters were 10, 20 and 30 pixels. The results of this experiment showed that using the templates with these diameters achieved sensitivities of 93%, 90% and 81% with 1.3, 0.7 and 0.33 false positives per image respectively. Conclusion: These results indicate that the detection performance of this template based algorithm is satisfactory, and may improve the performance of computer-aided analysis of mammographic images and early diagnosis of mammographic masses.en_US
dc.identifier.endpage228en_US
dc.identifier.issn1229-6929
dc.identifier.issue4en_US
dc.identifier.pmid16374079en_US
dc.identifier.scopus2-s2.0-31144459570en_US
dc.identifier.scopusqualityQ1en_US
dc.identifier.startpage221en_US
dc.identifier.urihttps://hdl.handle.net/11467/1193
dc.identifier.volume6en_US
dc.identifier.wosWOS:000234497800005en_US
dc.identifier.wosqualityQ3en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.indekslendigikaynakPubMeden_US
dc.language.isoenen_US
dc.publisherKorean Radiological Soc.en_US
dc.relation.ispartofKorean Journal of Radiologyen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectMass Detectionen_US
dc.subjectComputer Aided Detectionen_US
dc.subjectMammographyen_US
dc.titleMammographic mass detection using a mass templateen_US
dc.typeArticleen_US

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