Evaluating lesion segmentation on breast sonography as related to lesion type
dc.contributor.author
dc.date.accessioned
2015-10-20T10:58:10Z
dc.date.available
2015-10-20T10:58:10Z
dc.date.issued
2013-09
dc.identifier.issn
0278-4297
dc.identifier.uri
dc.description.abstract
Breast sonography currently provides a complementary diagnosis when other modalities are not conclusive. However, lesion segmentation on sonography is still a challenging problem due to the presence of artifacts. To solve these problems, Markov random fields and maximum a posteriori-based methods are used to estimate a distortion field while identifying regions of similar intensity inhomogeneity. In this study, different initialization approaches were exhaustively evaluated using a database of 212 B-mode breast sonograms and considering the lesion types. Finally, conclusions about the relationship between the segmentation results and lesions types are described
dc.description.sponsorship
This work was partially supported by Spanish Science and Innovation grant TIN2011-23704 and by a predoctoral grant from the recruitment of new research personnel program of the Generalitat de Catalunya
dc.format.mimetype
application/pdf
dc.language.iso
eng
dc.publisher
American Institute of Ultrasound in Medicine
dc.relation
info:eu-repo/grantAgreement/MICINN//TIN2011-23704/ES/M3CAD. MULTI-MODALITY AND MULTI-VIEW MAMMOGRAPHIC COMPUTER AIDED DIAGNOSIS SYSTEM/
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Reproducció digital del document publicat a: http://dx.doi.org/10.7863/ultra.32.9.1659
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© Journal of Ultrasound in Medicine, 2013, vol. 32, núm.9, p.1659-1670
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Articles publicats (D-ATC)
dc.rights
Tots els drets reservats
dc.title
Evaluating lesion segmentation on breast sonography as related to lesion type
dc.type
info:eu-repo/semantics/article
dc.rights.accessRights
info:eu-repo/semantics/embargoedAccess
dc.embargo.terms
Cap
dc.date.embargoEndDate
info:eu-repo/date/embargoEnd/2026-01-01
dc.type.version
info:eu-repo/semantics/publishedVersion
dc.identifier.doi
dc.identifier.idgrec
018119
dc.contributor.funder
dc.relation.ProjectAcronym
dc.identifier.eissn
1550-9613