Predicting Recurrence in Pancreatic Ductal Adenocarcinoma after Radical Surgery Using an AX-Unet Pan...
Predicting Recurrence in Pancreatic Ductal Adenocarcinoma after Radical Surgery Using an AX-Unet Pancreas Segmentation Model and Dynamic Nomogram
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Author / Creator
Ni, Haixu , Zhou, Gonghai , Chen, Xinlong , Ren, Jing , Yang, Minqiang , Zhang, Yuhong , Zhang, Qiyu , Zhang, Lei , Mao, Chengsheng and Li, Xun
Publisher
Switzerland: MDPI AG
Journal title
Language
English
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Publisher
Switzerland: MDPI AG
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Contents
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 model to extract the radiomic features from preopera...
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Full title
Predicting Recurrence in Pancreatic Ductal Adenocarcinoma after Radical Surgery Using an AX-Unet Pancreas Segmentation Model and Dynamic Nomogram
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TN_cdi_doaj_primary_oai_doaj_org_article_5582e8d063ee4ec4947b9efd43620820
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_5582e8d063ee4ec4947b9efd43620820
Other Identifiers
ISSN
2306-5354
E-ISSN
2306-5354
DOI
10.3390/bioengineering10070828
