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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