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A new semiautomatic method for ICH segmentation and tracking from CT head images
Conference ObjectAbstract: Recently, computer-aided diagnosis (CAD) has become one of the major research subjects in medical imPalabras claves:Autores:Guevara M.A., Noel Perez, Rodríguez L.A., Silva A.J., Valdés J.A.Fuentes:googlescopusImproving breast cancer classification with mammography, supported on an appropriate variable selection analysis
Conference ObjectAbstract: This work addresses the issue of variable selection within the context of breast cancer classificatiPalabras claves:Breast cancer classification, Clinical descriptors, Image-based descriptors, Machine learning algorithms, Mammography, Variable selection analysisAutores:Guevara M.A., Noel Perez, Silva A.Fuentes:googlescopusImproving the Mann-Whitney statistical test for feature selection: An approach in breast cancer diagnosis on mammography
ArticleAbstract: Objective: This work addresses the theoretical description and experimental evaluation of a new featPalabras claves:Breast cancer CADx, Feature selection methods, Machine learning algorithms, Mann-Whitney U-test, Redundancy analysis, UFilter methodAutores:Guevara M.A., Noel Perez, Ramos I., Silva A.Fuentes:googlescopusSet of methods for spontaneous ICH segmentation and tracking from CT head images
Conference ObjectAbstract: Spontaneous intracerebral hemorrhage (ICH) is a common cause of stroke, due to this; the early evoluPalabras claves:3D mathematic morphology, Deformable models, Intracerebral Hemorrhage, Medical images analysis, Segmentation and trackingAutores:Guevara M.A., Molina J.M., Noel Perez, Rodríguez L.A., Valdés J.A.Fuentes:googlescopusSpontaneous intracerebral hemorrhage image analysis methods: A survey
Conference ObjectAbstract: Spontaneous intracerebral hemorrhages (ICH) account for 10-30% all strokes and are a result of acutePalabras claves:Autores:Guevara M.A., Noel Perez, Silva A., Valdés J.A.Fuentes:googlescopus