Prediction of esophageal fistula in radiotherapy/chemoradiotherapy for patients with advanced esophageal cancer by a clinical-deep learning radiomics model
The clinical-deep learning radiomic model can effectively predict EF in patients with advanced esophageal cancer undergoing radiotherapy or chemoradiotherapy.
Authors
- Xiang Huang
- Ruixia Sun
- Xianli Luo
- Cheng Xu (ORCID: https://orcid.org/0000-0002-4503-6029)
- Yuxin Zhang (ORCID: https://orcid.org/0000-0003-4698-5645)
- Lingling Liu (ORCID: https://orcid.org/0000-0002-0470-2371)
- Xueling Li (ORCID: https://orcid.org/0000-0001-5002-448X)
- Min Zhu (ORCID: https://orcid.org/0000-0001-6614-606X)
Institutions
- Zunyi Medical University (CN)
- Anhui Medical University (CN)
- Chinese Academy of Sciences (CN)
- Hefei Institutes of Physical Science (CN)
Publication Details
- Journal
- BMC Medical Imaging
- Published
- 2024-11-18
- DOI
- https://doi.org/10.1186/s12880-024-01473-4
- Citations
- 2
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 0.81
Funders
- Chinese Academy of Sciences