Whole-body uptake classification and prostate cancer staging in (68)Ga-PSMA-11 PET/CT using dual-tracer learning

PURPOSE: In PSMA-ligand PET/CT imaging, standardized evaluation frameworks and image-derived parameters are increasingly used to support prostate cancer staging. Clinical applicability remains challenging wherever manual measurements of numerous suspected lesions are required. Deep learning methods...

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Detalles Bibliográficos
Autores principales: Capobianco, Nicolò, Sibille, Ludovic, Chantadisai, Maythinee, Gafita, Andrei, Langbein, Thomas, Platsch, Guenther, Solari, Esteban Lucas, Shah, Vijay, Spottiswoode, Bruce, Eiber, Matthias, Weber, Wolfgang A., Navab, Nassir, Nekolla, Stephan G.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2021
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8803695/
https://www.ncbi.nlm.nih.gov/pubmed/34232350
http://dx.doi.org/10.1007/s00259-021-05473-2

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8803695/
https://www.ncbi.nlm.nih.gov/pubmed/34232350
http://dx.doi.org/10.1007/s00259-021-05473-2

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