Bayesian Reconstruction Algorithms for Low-Dose Computed Tomography Are Not Yet Suitable in Clinical Context.

Kniep, Inga; Mieling, Robin; Gerling, Moritz; Schlaefer, Alexander; Heinemann, Axel; Ondruschka, Benjamin

Kniep, Inga; Mieling, Robin; Gerling, Moritz; Schlaefer, Alexander; Heinemann, Axel; Ondruschka, Benjamin.

Afiliação

Kniep I; Institute of Legal Medicine, University Medical Center Hamburg-Eppendorf, 22529 Hamburg, Germany.
Mieling R; Institute for Medical Technology and Intelligent Systems, Hamburg University of Technology, 21073 Hamburg, Germany.
Gerling M; Institute of Legal Medicine, University Medical Center Hamburg-Eppendorf, 22529 Hamburg, Germany.
Schlaefer A; Institute for Medical Technology and Intelligent Systems, Hamburg University of Technology, 21073 Hamburg, Germany.
Heinemann A; Institute of Legal Medicine, University Medical Center Hamburg-Eppendorf, 22529 Hamburg, Germany.
Ondruschka B; Institute of Legal Medicine, University Medical Center Hamburg-Eppendorf, 22529 Hamburg, Germany.

J Imaging ; 9(9)2023 Aug 23.

Article em En | MEDLINE | ID: mdl-37754934

Palavras-chave

Bayesian deep learning; POTOBIM; radiation exposure; sparse-view CT

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Qualitative_research Idioma: En Revista: J Imaging Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Alemanha

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