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Analytical performance of aPROMISE: automated anatomic contextualization, detection, and quantification of [(18)F]DCFPyL (PSMA) imaging for standardized reporting
PURPOSE: The application of automated image analyses could improve and facilitate standardization and consistency of quantification in [(18)F]DCFPyL (PSMA) PET/CT scans. In the current study, we analytically validated aPROMISE, a software as a medical device that segments organs in low-dose CT image...
Autores principales: | Johnsson, Kerstin, Brynolfsson, Johan, Sahlstedt, Hannicka, Nickols, Nicholas G., Rettig, Matthew, Probst, Stephan, Morris, Michael J., Bjartell, Anders, Eiber, Mathias, Anand, Aseem |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8803714/ https://www.ncbi.nlm.nih.gov/pubmed/34463809 http://dx.doi.org/10.1007/s00259-021-05497-8 |
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