Deep learning-based image quality improvement of (18)F-fluorodeoxyglucose positron emission tomography: a retrospective observational study

BACKGROUND: Deep learning (DL)-based image quality improvement is a novel technique based on convolutional neural networks. The aim of this study was to compare the clinical value of (18)F-fluorodeoxyglucose positron emission tomography ((18)F-FDG PET) images obtained with the DL method with those o...

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Detalles Bibliográficos
Autores principales: Tsuchiya, Junichi, Yokoyama, Kota, Yamagiwa, Ken, Watanabe, Ryosuke, Kimura, Koichiro, Kishino, Mitsuhiro, Chan, Chung, Asma, Evren, Tateishi, Ukihide
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2021
Materias:
Original Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7994470/
https://www.ncbi.nlm.nih.gov/pubmed/33765233
http://dx.doi.org/10.1186/s40658-021-00377-4

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7994470/
https://www.ncbi.nlm.nih.gov/pubmed/33765233
http://dx.doi.org/10.1186/s40658-021-00377-4

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