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Characterization of texture in image of skin lesions by support vector machine

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dc.contributor.authorOliveira, Roberta B. [UNESP]
dc.contributor.authorCaldas Jr., Carlos Roberto D. [UNESP]
dc.contributor.authorPereira, Aledir S. [UNESP]
dc.contributor.authorGuido, Rodrigo C. [UNESP]
dc.contributor.authorAraujo, Alex F. de
dc.contributor.authorTavares, João Manuel R. S.
dc.contributor.authorRossetti, Ricardo B.
dc.contributor.institutionUniversidade Estadual Paulista (Unesp)
dc.contributor.institutionUniversidade Do Porto
dc.date.accessioned2014-05-27T11:27:09Z
dc.date.available2014-05-27T11:27:09Z
dc.date.issued2012-11-19
dc.description.abstractDue to the increased incidence of skin cancer, computational methods based on intelligent approaches have been developed to aid dermatologists in the diagnosis of skin lesions. This paper proposes a method to classify texture in images, since it is an important feature for the successfully identification of skin lesions. For this is defined a feature vector, with the fractal dimension of images through the box-counting method (BCM), which is used with a SVM to classify the texture of the lesions in to non-irregular or irregular. With the proposed solution, we could obtain an accuracy of 72.84%. © 2012 AISTI.en
dc.description.affiliationDepartamento de Ciências de Computação e Estatísticas Instituto de Biociências, Letras e Ciências Exatas UNESP, São José do Rio Preto
dc.description.affiliationInstituto de Engenharia Mecânica e Gestão Industrial Faculdade de Engenharia Universidade Do Porto, Porto
dc.description.affiliationClínica Derm, São José do Rio Preto
dc.description.affiliationUnespDepartamento de Ciências de Computação e Estatísticas Instituto de Biociências, Letras e Ciências Exatas UNESP, São José do Rio Preto
dc.identifierhttp://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6263217
dc.identifier.citationIberian Conference on Information Systems and Technologies, CISTI. Information Systems and Technologies. New York: IEEE, p. 2, 2012.
dc.identifier.issn2166-0727
dc.identifier.issn2166-0735
dc.identifier.lattes6542086226808067
dc.identifier.orcid0000-0002-0924-8024
dc.identifier.scopus2-s2.0-84869038704
dc.identifier.urihttp://hdl.handle.net/11449/73741
dc.identifier.wosWOS:000319285900159
dc.language.isopor
dc.relation.ispartofIberian Conference on Information Systems and Technologies, CISTI
dc.relation.ispartofsjr0,136
dc.rights.accessRightsAcesso aberto
dc.sourceScopus
dc.subjectbox-counting method
dc.subjectfractal dimension
dc.subjectintelligent system
dc.subjectmachine learning
dc.subjectsupport vector machine
dc.subjectBox-counting method
dc.subjectFeature vectors
dc.subjectSkin cancers
dc.subjectSkin lesion
dc.subjectDermatology
dc.subjectFractal dimension
dc.subjectImage retrieval
dc.subjectInformation systems
dc.subjectIntelligent systems
dc.subjectLearning systems
dc.subjectSupport vector machines
dc.subjectTextures
dc.subjectImage texture
dc.titleCharacterization of texture in image of skin lesions by support vector machineen
dc.typeTrabalho apresentado em evento
dcterms.licensehttp://www.ieee.org/publications_standards/publications/rights/rights_policies.html
dspace.entity.typePublication
unesp.author.lattes6542086226808067[4]
unesp.author.orcid0000-0001-7603-6526[6]
unesp.author.orcid0000-0002-5373-9402[1]
unesp.author.orcid0000-0002-0924-8024[4]
unesp.campusUniversidade Estadual Paulista (UNESP), Instituto de Biociências Letras e Ciências Exatas, São José do Rio Pretopt
unesp.departmentCiências da Computação e Estatística - IBILCEpt

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São José do Rio Preto - IBILCE - Instituto de Biociências, Letras e Ciências Exatas