Freely available artificial intelligence for pelvic lymph node metastases in PSMA PET-CT that performs on par with nuclear medicine physicians

PURPOSE: The aim of this study was to develop and validate an artificial intelligence (AI)-based method using convolutional neural networks (CNNs) for the detection of pelvic lymph node metastases in scans obtained using [(18)F]PSMA-1007 positron emission tomography-computed tomography (PET-CT) from...

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Detalles Bibliográficos
Autores principales: Trägårdh, Elin, Enqvist, Olof, Ulén, Johannes, Hvittfeldt, Erland, Garpered, Sabine, Belal, Sarah Lindgren, Bjartell, Anders, Edenbrandt, Lars
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2022
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9308591/
https://www.ncbi.nlm.nih.gov/pubmed/35475912
http://dx.doi.org/10.1007/s00259-022-05806-9

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9308591/
https://www.ncbi.nlm.nih.gov/pubmed/35475912
http://dx.doi.org/10.1007/s00259-022-05806-9

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