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dc.rights.licenseLicencia de Creative Commons Reconocimiento-NoComercial-CompartirIgual 4.0 Internacionales
dc.contributor.authorSáenz, F
dc.contributor.authorVera, M
dc.contributor.authorHuerfano, Y
dc.contributor.authorMolina, V
dc.contributor.authorMartinez, L
dc.contributor.authorVera, M I
dc.contributor.authorSalazar, W
dc.contributor.authorGelvez, E
dc.contributor.authorSalazar, J
dc.contributor.authorValbuena, O
dc.contributor.authorRobles, H
dc.contributor.authorBautista, M
dc.contributor.authorArango, J
dc.date.accessioned2019-01-25T20:04:46Z
dc.date.available2019-01-25T20:04:46Z
dc.date.issued2018
dc.identifier.issn17426588
dc.identifier.urihttp://hdl.handle.net/20.500.12442/2531
dc.description.abstractIn computed tomography imaging, brain hematoma (BH) segmentation is a very challenging process due to a high variability of BH morphology, low contrast and noisy images. Because of this, BH segmentation is an open problem. In order to approach this problem, we propose an automatic technique, named nonlinear technique (NLT), based on a thresholding method, noise suppression filters, intelligent operators, a clustering strategy and a binary morphological operator. NLT performance is assessed by Jaccard's similarity index (JSI) used to compare automatic and manual BH segmentations. This assessment allows developing a tuning process for establishing the optimal parameters of each of the algorithms which constitute the proposed technique. The results indicate a good correlation, based on JSI, between the manual segmentations and the automatic ones. Finally, the BH volume is generated considering the automatic segmentation. This volume indicates whether or not the patient must undergo a surgical intervention for BH treatment.en
dc.language.isoenen
dc.publisherIOP Publishingen
dc.rightsinfo:eu-repo/semantics/openAccess
dc.sourceJournal of Physics: Conference Seriesen
dc.sourceVol. 1126, No. 012071 (2018)es
dc.source.uridoi :10.1088/1742-6596/1126/1/012071en
dc.titleBrain hematoma computational segmentationen
dc.typeArticleen
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