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

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

Abstract 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...

Full description

Bibliographic Details
Main Authors: Gong Zhang, Chengkai Bao, Yanzhe Liu, Zizheng Wang, Lei Du, Yue Zhang, Fei Wang, Baixuan Xu, S. Kevin Zhou, Rong Liu
Format: Article
Language:English
Published: SpringerOpen 2023-05-01
Series:EJNMMI Research
Subjects:
Deep learning
Pancreatic cancer
PET/CT
Pathological grading
Prediction model
Online Access:https://doi.org/10.1186/s13550-023-00985-4

Internet

https://doi.org/10.1186/s13550-023-00985-4

Similar Items