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Improved lesion detection in MR mammography: Three-dimensional segmentation, moving voxel sampling, and normalized maximum intensity-time ratio entropy

dc.contributor.authorErtas, Goekhan
dc.contributor.authorTunaci, Mehtap
dc.contributor.authorGuelcuer, Oezcan
dc.date.accessioned2021-03-03T15:18:21Z
dc.date.available2021-03-03T15:18:21Z
dc.date.issued2007
dc.identifier.citationErtas G., Guelcuer O., Tunaci M., "Improved lesion detection in MR mammography: Three-dimensional segmentation, moving voxel sampling, and normalized maximum intensity-time ratio entropy", ACADEMIC RADIOLOGY, cilt.14, sa.2, ss.151-161, 2007
dc.identifier.issn1076-6332
dc.identifier.otherav_3e4881e7-5e6e-42db-91bb-157548fc7daf
dc.identifier.othervv_1032021
dc.identifier.urihttp://hdl.handle.net/20.500.12627/45729
dc.identifier.urihttps://doi.org/10.1016/j.acra.2006.11.003
dc.description.abstractRationale and Objectives. The objective of this work was to develop a quantitative method for improving lesion detection in dynamic contrast-enhanced magnetic resonance mammography (DCEMRM). For this purpose, we segmented and analyzed suspicious regions according to their contrast enhancement dynamics, generated a normalized maximum intensity-time ratio (nMITR) projection, and explored it to extract important features, to improve accuracy and reproducibility of detection.
dc.language.isoeng
dc.subjectNükleer Tıp
dc.subjectDahili Tıp Bilimleri
dc.subjectSağlık Bilimleri
dc.subjectTıp
dc.subjectKlinik Tıp (MED)
dc.subjectKlinik Tıp
dc.subjectRADYOLOJİ, NÜKLEER TIP ve MEDİKAL GÖRÜNTÜLEME
dc.titleImproved lesion detection in MR mammography: Three-dimensional segmentation, moving voxel sampling, and normalized maximum intensity-time ratio entropy
dc.typeMakale
dc.relation.journalACADEMIC RADIOLOGY
dc.contributor.department, ,
dc.identifier.volume14
dc.identifier.issue2
dc.identifier.startpage151
dc.identifier.endpage161
dc.contributor.firstauthorID181769


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