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dc.contributor.author
Benalcazar Palacios, Marco Enrique

dc.contributor.author
Brun, Marcel

dc.contributor.author
Ballarin, Virginia Laura

dc.date.available
2018-01-29T13:43:07Z
dc.date.issued
2014-10
dc.identifier.citation
Benalcazar Palacios, Marco Enrique; Brun, Marcel; Ballarin, Virginia Laura; Automatic Design of Window Operators for the Segmentation of the Prostate Gland in Magnetic Resonance Images; Springer; Ifmbe Proceedings; 49; 10-2014; 417-420
dc.identifier.issn
1680-0737
dc.identifier.uri
http://hdl.handle.net/11336/34830
dc.description.abstract
W-operators are nonlinear image operators that are translation invariant and locally defined inside a finite spatial window. In this work, we consider the problem of automatic design of W-operators for the segmentation of magnetic resonance (MR) volumes as a problem of classifier design. We propose to segment the objects of interest in an MR volume by classifying each pixel of its slices as either part of the objects of interest or background. The classifiers used here are the artificial feed-forward neural networks. The proposed method is applied to the segmentation of the two main regions of the prostate gland: the peripheral zone and the central gland. Performance evaluation was carried out on the volumes of the Prostate-3T collection of the NCI-ISBI 2013 Challenge. The results obtained show the suitability of our approach as a marker detector of the prostate gland.
dc.format
application/pdf
dc.language.iso
eng
dc.publisher
Springer

dc.rights
info:eu-repo/semantics/openAccess
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.subject
W-Operator
dc.subject
Segmentation
dc.subject
Magnetic Resonance
dc.subject
Prostate Gland
dc.subject
Feed-Forward Neural Network
dc.subject.classification
Ciencias de la Computación

dc.subject.classification
Ciencias de la Computación e Información

dc.subject.classification
CIENCIAS NATURALES Y EXACTAS

dc.title
Automatic Design of Window Operators for the Segmentation of the Prostate Gland in Magnetic Resonance Images
dc.type
info:eu-repo/semantics/article
dc.type
info:ar-repo/semantics/artículo
dc.type
info:eu-repo/semantics/publishedVersion
dc.date.updated
2018-01-26T18:59:47Z
dc.journal.volume
49
dc.journal.pagination
417-420
dc.journal.pais
Estados Unidos

dc.journal.ciudad
Nueva York
dc.description.fil
Fil: Benalcazar Palacios, Marco Enrique. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional de Mar del Plata; Argentina. Secretaría Nacional de Educación Superior, Ciencia, Tecnología e Innovación. Guayaquil; Ecuador
dc.description.fil
Fil: Brun, Marcel. Universidad Nacional de Mar del Plata; Argentina
dc.description.fil
Fil: Ballarin, Virginia Laura. Universidad Nacional de Mar del Plata; Argentina
dc.journal.title
Ifmbe Proceedings

dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1007/978-3-319-13117-7_107
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/https://link.springer.com/chapter/10.1007%2F978-3-319-13117-7_107
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