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Title:

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

Document type:
Zeitschriftenaufsatz
Author(s):
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.
Keywords:
Original Article ; Advanced Image Analyses (Radiomics and Artificial Intelligence) ; Prostate cancer ; Staging ; PSMA ; PET/CT ; Deep learning ; miTNM
Journal title:
European Journal of Nuclear Medicine and Molecular Imaging
Year:
2021
Journal volume:
49
Journal issue:
2
Pages contribution:
517-526
Fulltext / DOI:
doi:10.1007/s00259-021-05473-2
Publisher:
Springer Berlin Heidelberg
E-ISSN:
1619-7070 ; 1619-7089
Notes:
0
Date of publication:
07.07.2021
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