Novel CT radiomics models for the postoperative prediction of early recurrence of resectable pancreatic adenocarcinoma: A single‐center retrospective study in China
The predictive performance of deep features based on CT images exhibits favorable outcomes in predicting early recurrence.
Authors
- Yinmo Yang (ORCID: https://orcid.org/0000-0001-8781-1022)
- Xiaojuan Du (ORCID: https://orcid.org/0000-0002-0108-511X)
- Xiejian Zhong
- Xiaodong Tian (ORCID: https://orcid.org/0000-0002-0943-5161)
- Xiaoying Wang (ORCID: https://orcid.org/0000-0002-0911-1714)
- Jianxin Wang (ORCID: https://orcid.org/0000-0002-0307-3737)
- Yongsu Ma (ORCID: https://orcid.org/0000-0002-3631-754X)
- Kexin Wang (ORCID: https://orcid.org/0000-0002-6170-4744)
Institutions
- Peking University (CN)
- Peking University First Hospital (CN)
Publication Details
- Journal
- Journal of Applied Clinical Medical Physics
- Published
- 2025-04-11
- DOI
- https://doi.org/10.1002/acm2.70092
- Citations
- 3
- Primary Topic
- Pancreatic and Hepatic Oncology Research
- Type
- article
- Field-Weighted Citation Impact
- 3.14
Funders
- National Natural Science Foundation of China