{ "dc.contributor.author": "Pons Rodríguez, Gerard" , "dc.contributor.author": "Martí Bonmatí, Joan" , "dc.contributor.author": "Martí Marly, Robert" , "dc.contributor.author": "Ganau, Sergi" , "dc.contributor.author": "Vilanova Busquets, Joan Carles" , "dc.contributor.author": "Noble, J. Alison" , "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 (versió paper)" , "dc.identifier.issn": "1550-9613 (versió electrònica)" , "dc.identifier.uri": "http://hdl.handle.net/10256/11347" , "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": "MICINN/PN 2012-2012/TIN2011-23704" , "dc.relation.isformatof": "Reproducció digital del document publicat a: http://dx.doi.org/10.7863/ultra.32.9.1659" , "dc.relation.ispartof": "© Journal of Ultrasound in Medicine, 2013, vol. 32, núm.9, p.1659-1670" , "dc.relation.ispartofseries": "Articles publicats (D-ATC)" , "dc.rights": "Tots els drets reservats" , "dc.subject": "Mama -- Càncer -- Diagnòstic" , "dc.subject": "Breast -- Cancer -- Diagnosis" , "dc.subject": "Ecografia" , "dc.subject": "Ultrasonic imaging" , "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.type.version": "info:eu-repo/semantics/publishedVersion" , "dc.identifier.doi": "http://dx.doi.org/10.7863/ultra.32.9.1659" , "dc.identifier.idgrec": "018119" , "dc.contributor.funder": "Ministerio de Ciencia e Innovación (Espanya)" }