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dc.contributor.authorArana-Arexolaleiba, Nestor
dc.contributor.authorIzaguirre Altuna, Alberto
dc.contributor.otherVásquez Obando, Pablo Jose
dc.contributor.otherBurgos, Jorge
dc.date.accessioned2023-01-09T14:50:24Z
dc.date.available2023-01-09T14:50:24Z
dc.date.issued2018
dc.identifier.isbn9781538635094en
dc.identifier.otherhttps://katalogoa.mondragon.edu/janium-bin/janium_login_opac.pl?find&ficha_no=128217en
dc.identifier.urihttps://hdl.handle.net/20.500.11984/5930
dc.description.abstractLabor induction is defined as the artificial stimulation of uterine contractions aimed to induce vaginal birth. Occurring in about 20% of pregnancies labor induction has become one the most commonly practiced procedures in obstetrics. One of the risk related to labor induction is cesarean section which accounts about 20% of the inductions. A requirement for a successful labor is a ripe cervix (soft and distensible). Microestructural changes occurring in the cervix during the ripening process, will affect the interaction between cervical tissues and sound waves during ultrasound transvaginal scanning and will be perceived as gray level intensity variations in the echographic image. A non-invasive method using image processing of ultrasound images may help in predicting the outcome of labor induction. In this paper a set of echography images from labor induction patients is analyzed using a multiscale methodology based on Center Symmetric Local Binary Patterns and Gabor filters. Results show that it is feasible to predict the outcome of a labor induction procedure using this method with a good accuracy.es
dc.language.isoengen
dc.publisherIEEEen
dc.rights© 2018 IEEEen
dc.subjectHeterojunction bipolar transistorsen
dc.subjectVoltage controlen
dc.subjectlabor inductiones
dc.titleLabor Induction failure prediction using Gabor filterbanks and Center Symmetric Local Binary Patternses
dcterms.accessRightshttp://purl.org/coar/access_right/c_abf2en
dcterms.source37th IEEE Central America and Panama Convention (CONCAPAN XXXVII)en
local.contributor.groupRobótica y automatizaciónes
local.description.peerreviewedtrueen
local.identifier.doihttps://doi.org/10.1109/CONCAPAN.2017.8278508en
local.contributor.otherinstitutionhttps://ror.org/00brc6r59es
local.contributor.otherinstitutionhttps://ror.org/0061s4v88es
local.source.detailsManagua. 15-17 noviembre, 2018en
oaire.format.mimetypeapplication/pdf
oaire.file$DSPACE\assetstore
oaire.resourceTypehttp://purl.org/coar/resource_type/c_c94fen
oaire.versionhttp://purl.org/coar/version/c_ab4af688f83e57aaen


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Registro sencillo