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

Internet

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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