18 F-FDG-PET/CT-based deep learning model for fully automated prediction of pathological grading for...
18 F-FDG-PET/CT-based deep learning model for fully automated prediction of pathological grading for pancreatic ductal adenocarcinoma before surgery
About this item
Full title
Author / Creator
Zhang, Gong , Bao, Chengkai , Liu, Yanzhe , Wang, Zizheng , Du, Lei , Zhang, Yue , Wang, Fei , Xu, Baixuan , Zhou, S Kevin and Liu, Rong
Publisher
Germany
Journal title
Language
English
Formats
Publication information
Publisher
Germany
More information
Scope and Contents
Contents
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 learning (DL) model based on
F-fluorodeoxyglucose-positron em...
Alternative Titles
Full title
18 F-FDG-PET/CT-based deep learning model for fully automated prediction of pathological grading for pancreatic ductal adenocarcinoma before surgery
Authors, Artists and Contributors
Identifiers
Primary Identifiers
Record Identifier
TN_cdi_pubmed_primary_37231321
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmed_primary_37231321
Other Identifiers
ISSN
2191-219X
E-ISSN
2191-219X
DOI
10.1186/s13550-023-00985-4
