Automated multiparametric localization of prostate cancer based on B-mode, shear-wave elastography, and contrast-enhanced ultrasound radiomics.

Objectives: The aim of this study was to assess the potential of machine learning based on B-mode, shear-wave elastography (SWE), and dynamic contrast-enhanced ultrasound (DCE-US) radiomics for the localization of prostate cancer (PCa) lesions using transrectal ultrasound.Methods: This study was app...

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Publicado en:	European Radiology Vol. 30; no. 2; pp. 806 - 816
Autores principales:	Wildeboer, Rogier R., Mannaerts, Christophe K., van Sloun, Ruud J. G., Budäus, Lars, Tilki, Derya, Wijkstra, Hessel, Salomon, Georg, Mischi, Massimo
Formato:	research Journal Article
Publicado:	Springer Nature Feb2020
Acceso en línea:	Ver este registro en EBSCOhost