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Fully automated identification of brain abnormality from whole-body FDG-PET imaging using deep learning-based brain extraction and statistical parametric mapping

BACKGROUND: The whole brain is often covered in [(18)F]Fluorodeoxyglucose positron emission tomography ([(18)F]FDG-PET) in oncology patients, but the covered brain abnormality is typically screened by visual interpretation without quantitative analysis in clinical practice. In this study, we aimed t...

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Detalles Bibliográficos
Autores principales:	Whi, Wonseok, Choi, Hongyoon, Paeng, Jin Chul, Cheon, Gi Jeong, Kang, Keon Wook, Lee, Dong Soo
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/PMC8590988/ https://www.ncbi.nlm.nih.gov/pubmed/34778923 http://dx.doi.org/10.1186/s40658-021-00424-0

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