(18)F-FDG-PET/CT-based deep learning model for fully automated prediction of pathological grading for pancreatic ductal adenocarcinoma before surgery

BACKGROUND: The determination of pathological grading has a guiding significance for the treatment of pancreatic ductal adenocarcinoma (PDAC) patients. However, there is a lack of an accurate and safe method to obtain pathological grading before surgery. The aim of this study is to develop a deep le...

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Detalles Bibliográficos
Autores principales: Zhang, Gong, Bao, Chengkai, Liu, Yanzhe, Wang, Zizheng, Du, Lei, Zhang, Yue, Wang, Fei, Xu, Baixuan, Zhou, S. Kevin, Liu, Rong
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/PMC10212867/
https://www.ncbi.nlm.nih.gov/pubmed/37231321
http://dx.doi.org/10.1186/s13550-023-00985-4

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10212867/
https://www.ncbi.nlm.nih.gov/pubmed/37231321
http://dx.doi.org/10.1186/s13550-023-00985-4

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