dc.contributorUniversidade Estadual Paulista (UNESP)
dc.creatorCoelho, Regina Célia
dc.creatorDi Gesù, Vito
dc.creatorLo Bosco, Giosuè
dc.creatorTanaka, Júlia Sawaki
dc.creatorValenti, Cesare
dc.date2014-05-27T11:20:28Z
dc.date2016-10-25T18:17:47Z
dc.date2014-05-27T11:20:28Z
dc.date2016-10-25T18:17:47Z
dc.date2002-06-01
dc.date.accessioned2017-04-06T01:02:31Z
dc.date.available2017-04-06T01:02:31Z
dc.identifierReal-Time Imaging, v. 8, n. 3, p. 213-226, 2002.
dc.identifier1007-2014
dc.identifierhttp://hdl.handle.net/11449/66892
dc.identifierhttp://acervodigital.unesp.br/handle/11449/66892
dc.identifier10.1006/rtim.2002.0281
dc.identifierWOS:000177878600005
dc.identifier2-s2.0-0036626184
dc.identifierhttp://dx.doi.org/10.1006/rtim.2002.0281
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/888403
dc.descriptionThis article presents a quantitative and objective approach to cat ganglion cell characterization and classification. The combination of several biologically relevant features such as diameter, eccentricity, fractal dimension, influence histogram, influence area, convex hull area, and convex hull diameter are derived from geometrical transforms and then processed by three different clustering methods (Ward's hierarchical scheme, K-means and genetic algorithm), whose results are then combined by a voting strategy. These experiments indicate the superiority of some features and also suggest some possible biological implications.
dc.languageeng
dc.relationReal-Time Imaging
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.subjectAnimal cell culture
dc.subjectBiology
dc.subjectComputational geometry
dc.subjectFractals
dc.subjectGenetic algorithms
dc.subjectCat ganglion retinal cell classification
dc.subjectGeometrical transforms
dc.subjectWard hierarchical scheme
dc.subjectFeature extraction
dc.titleShape-based features for cat ganglion retinal cells classification
dc.typeOtro


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