Sub-minute acquisition with deep learning-based image filter in the diagnosis of colorectal cancers using total-body (18)F-FDG PET/CT

BACKGROUND: This study aimed to retrospectively evaluate the feasibility of total-body (18)F-FDG PET/CT ultrafast acquisition combined with a deep learning (DL) image filter in the diagnosis of colorectal cancers (CRCs). METHODS: The clinical and preoperative imaging data of patients with CRCs were...

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Detalles Bibliográficos
Autores principales: Liu, Entao, Lyu, Zejian, Yang, Yuelong, Lv, Yang, Zhao, Yumo, Zhang, Xiaochun, Sun, Taotao, Jiang, Lei, Liu, Zaiyi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2023
Materias:
Original Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10333161/
https://www.ncbi.nlm.nih.gov/pubmed/37428417
http://dx.doi.org/10.1186/s13550-023-01015-z

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10333161/
https://www.ncbi.nlm.nih.gov/pubmed/37428417
http://dx.doi.org/10.1186/s13550-023-01015-z

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