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Application of multivariate image analysis to prostate cancer for improving the comprehension of the related physiological phenomena and the development and validation of new imaging biomarkers

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Application of multivariate image analysis to prostate cancer for improving the comprehension of the related physiological phenomena and the development and validation of new imaging biomarkers

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Aguado Sarrió, E. (2019). Application of multivariate image analysis to prostate cancer for improving the comprehension of the related physiological phenomena and the development and validation of new imaging biomarkers [Tesis doctoral no publicada]. Universitat Politècnica de València. https://doi.org/10.4995/Thesis/10251/134023

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/134023

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Title: Application of multivariate image analysis to prostate cancer for improving the comprehension of the related physiological phenomena and the development and validation of new imaging biomarkers
Author:
Director(s): Prats Montalbán, José Manuel Sanz Requena, Roberto
UPV Unit: Universitat Politècnica de València. Departamento de Estadística e Investigación Operativa Aplicadas y Calidad - Departament d'Estadística i Investigació Operativa Aplicades i Qualitat
Read date / Event date:
2019-11-28
Issued date:
Abstract:
[ES] El aumento de la esperanza de vida en la población con edad por encima de 50 años está generando un mayor número de casos detectados de cáncer de próstata (CaP). Por este motivo, los recursos se destinan al diagnóstico ...[+]


[CAT] El increment de la esperança de vida en la població per damunt dels 50 anys està generant un major nombre de casos detectats de càncer de pròstata (CaP). Per aquest motiu, els recursos es destinen al diagnòstic en ...[+]


[EN] The increase in life expectancy and population with age higher than 50 years is producing a major number of detected cases of prostate cancer (PCa). For this reason, the resources are focused in the early diagnosis ...[+]
Subjects: Biomarcadores , Resonancia Magnética , Imágenes , Cáncer , Próstata , Estadística , Análisis Multivariante , Variables Latentes , MCR-ALS , PLS
Copyrigths: Reserva de todos los derechos
DOI: 10.4995/Thesis/10251/134023
Type: Tesis doctoral

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