dc.creatorGuliato, D
dc.creatorRangayyan, RM
dc.creatorCarnielli, WA
dc.creatorZuffo, JA
dc.creatorDesautels, JEL
dc.date2003
dc.dateJUL
dc.date2014-11-13T23:35:26Z
dc.date2015-11-26T16:03:13Z
dc.date2014-11-13T23:35:26Z
dc.date2015-11-26T16:03:13Z
dc.date.accessioned2018-03-28T22:52:30Z
dc.date.available2018-03-28T22:52:30Z
dc.identifierJournal Of Electronic Imaging. I S & T - Soc Imaging Science Technology, v. 12, n. 3, n. 379, n. 389, 2003.
dc.identifier1017-9909
dc.identifierWOS:000184519300002
dc.identifier10.1117/1.1578639
dc.identifierhttp://www.repositorio.unicamp.br/jspui/handle/REPOSIP/67717
dc.identifierhttp://www.repositorio.unicamp.br/handle/REPOSIP/67717
dc.identifierhttp://repositorio.unicamp.br/jspui/handle/REPOSIP/67717
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/1265223
dc.descriptionThe detection of masses and tumors in a mammogram is a difficult problem that could benefit from the use of multiple approaches. We propose an abstract concept of information fusion based on a finite automaton and fuzzy sets to integrate and evaluate results of multiple image segmentation procedures. We, give examples on how the method can be applied to the problem of mammographic image segmentation,. combining results of region growing and closed-contour detection techniques. We also propose a measure of fuzzyness to assess the agreement between a segmented region and a reference contour. Application of the fusion technique to breast tumor detection in mammograms indicates that the fusion results agree with the reference contours provided by a radiologist to a higher extent than the results of the individual methods. (C) 2003 SPIE and IST.
dc.description12
dc.description3
dc.description379
dc.description389
dc.languageen
dc.publisherI S & T - Soc Imaging Science Technology
dc.publisherSpringfield
dc.publisherEUA
dc.relationJournal Of Electronic Imaging
dc.relationJ. Electron. Imaging
dc.rightsfechado
dc.sourceWeb of Science
dc.subjectMammographic Masses
dc.subjectClassification
dc.subjectInformation
dc.subjectRegion
dc.subjectShape
dc.titleFuzzy fusion operators to combine results of complementary medical image segmentation techniques
dc.typeArtículos de revistas


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