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 ap...

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Detalles Bibliográficos
Autores principales: Wildeboer, Rogier R., Mannaerts, Christophe K., van Sloun, Ruud J. G., Budäus, Lars, Tilki, Derya, Wijkstra, Hessel, Salomon, Georg, Mischi, Massimo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2019
Materias:
Urogenital
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6957554/
https://www.ncbi.nlm.nih.gov/pubmed/31602512
http://dx.doi.org/10.1007/s00330-019-06436-w

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6957554/
https://www.ncbi.nlm.nih.gov/pubmed/31602512
http://dx.doi.org/10.1007/s00330-019-06436-w

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