Artificial intelligence for detecting small FDG-positive lung nodules in digital PET/CT: impact of image reconstructions on diagnostic performance.

Objectives: To evaluate the diagnostic performance of a deep learning algorithm for automated detection of small 18F-FDG-avid pulmonary nodules in PET scans, and to assess whether novel block sequential regularized expectation maximization (BSREM) reconstruction affects detection accuracy as compare...

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Publicado en:	European Radiology Vol. 30; no. 4; pp. 2031 - 2041
Autores principales:	Schwyzer, Moritz, Martini, Katharina, Benz, Dominik C., Burger, Irene A., Ferraro, Daniela A., Kudura, Ken, Treyer, Valerie, von Schulthess, Gustav K., Kaufmann, Philipp A., Huellner, Martin W., Messerli, Michael
Formato:	Journal Article
Publicado:	Springer Nature Apr2020
Acceso en línea:	Ver este registro en EBSCOhost