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An ultrasound based computer-aided diagnosis tool for steatosis detection

dc.contributor.authorRibeiro, Ricardo
dc.contributor.authorMarinho, Rui
dc.contributor.authorSanches, João
dc.date.accessioned2013-12-16T16:54:51Z
dc.date.available2013-12-16T16:54:51Z
dc.date.issued2014-07
dc.description.abstractLiver steatosis is a common disease usually associated with social and genetic factors. Early detection and quantification is important since it can evolve to cirrhosis. In this paper, a new computer-aided diagnosis (CAD) system for steatosis classification, in a local and global basis, is presented. Bayes factor is computed from objective ultrasound textural features extracted from the liver parenchyma. The goal is to develop a CAD screening tool, to help in the steatosis detection. Results showed an accuracy of 93.33%, with a sensitivity of 94.59% and specificity of 92.11%, using the Bayes classifier. The proposed CAD system is a suitable graphical display for steatosis classification.por
dc.identifier.citationRibeiro R, Marinho R, Sanches J. An ultrasound based computer-aided diagnosis tool for steatosis detection. IEEE J Biomed Health Inform. 2014;18(4):1397-403.por
dc.identifier.doi10.1109/JBHI.2013.2284785en
dc.identifier.urihttp://hdl.handle.net/10400.21/3006
dc.language.isoengpor
dc.peerreviewedyespor
dc.publisherIEEEpor
dc.relation.publisherversionhttp://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6623104por
dc.subjectComputer-aided diagnosispor
dc.subjectClassificationpor
dc.subjectSteatosispor
dc.subjectTextural featurespor
dc.subjectUltrasoundpor
dc.subjectAccuracypor
dc.subjectDesign automationpor
dc.subjectFeature extractionpor
dc.subjectLiverpor
dc.subjectSensitivitypor
dc.subjectSpecklepor
dc.titleAn ultrasound based computer-aided diagnosis tool for steatosis detectionpor
dc.typejournal article
dspace.entity.typePublication
oaire.citation.titleIEEE Journal of Biomedical and Health Informaticspor
rcaap.rightsrestrictedAccesspor
rcaap.typearticlepor

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