Predicting Recurrence in Pancreatic Ductal Adenocarcinoma after Radical Surgery Using an AX-Unet Pancreas Segmentation Model and Dynamic Nomogram

This study aims to investigate the reliability of radiomic features extracted from contrast-enhanced computer tomography (CT) by AX-Unet, a pancreas segmentation model, to analyse the recurrence of pancreatic ductal adenocarcinoma (PDAC) after radical surgery. In this study, we trained an AX-Unet mo...

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Detalles Bibliográficos
Autores principales: Ni, Haixu, Zhou, Gonghai, Chen, Xinlong, Ren, Jing, Yang, Minqiang, Zhang, Yuhong, Zhang, Qiyu, Zhang, Lei, Mao, Chengsheng, Li, Xun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10376503/
https://www.ncbi.nlm.nih.gov/pubmed/37508855
http://dx.doi.org/10.3390/bioengineering10070828

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10376503/
https://www.ncbi.nlm.nih.gov/pubmed/37508855
http://dx.doi.org/10.3390/bioengineering10070828

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