Breast Cancer Classification of Mammograms using a Combined Classifier

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AudienciaPúblico en generales_ES
CoberturaMéxico[ 143]es_ES
Fecha de ingreso2026-10-05T16:35:07Z
Fecha de publicación2012-01-01
ResumenBreast cancer is the most common cause of death in women and the second leading cause of cancer deaths worldwide. Primary prevention in early stages leads to the possibility of taking opportune actions since characteristic footprints of the disease can be found through image processing. In this paper, we propose an approach to computationally perform mammograms images classification based on a combined classifier. The combined classifier, which is formed by Support Vector Machines and Naïve Bayes machine learning, results in reliable image classification thus making it a valuable tool for mammogram diagnostics.es_ES
ISBN978-155752958-9es_ES
URIhttps://riuat.uat.edu.mx/handle/123456789/6583
IdiomaInglés[20]es_ES
EditorialOptica Publishing Group (formerly OSA)es_ES
RelaciónOptics InfoBase Conference Paperses_ES
URL relacionadohttps://www.scopus.com/pages/publications/85136312886?origin=resultslistes_ES
DerechosAcceso restringido / Suscripción (Metadatos de producción científica)es_ES
Licenciahttp://purl.org/coar/access_right/c_16eces_ES
FuenteOptics InfoBase Conference Papers
TítuloBreast Cancer Classification of Mammograms using a Combined Classifieres_ES
TipoPonenciaes_ES
ArbitradoHa sido Arbitradoes_ES
AutorGuzmán-Cabrera, R.
AutorGuzman-Sepulveda, J.R.
AutorTorres-Cisneros, M.
AutorAviña-Cervantes, G.
AutorGuzmán-Cabrera, R.es_ES
AutorGuzman-Sepulveda, J.R.es_ES
AutorTorres-Cisneros, M.es_ES
AutorAviña-Cervantes, G.es_ES
InstituciónUniversidad Autónoma de Tamaulipas
InstituciónUniversidad Autónoma de Tamaulipases_ES
URL relacionadahttps://www.scopus.com/pages/publications/85136312886?origin=resultslist
Tipo de artículoIndexado
Tipo de artículoIndexadoes_ES

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