Deep learning model combined with computed tomography features to preoperatively predicting the risk stratification of gastrointestinal stromal tumors
A combined DLM with satisfactory performance for preoperatively predicting GIST stratifications was developed using routine computed tomography data, demonstrating superiority compared to DLM.
Authors
- Xiaonan Cui (ORCID: https://orcid.org/0000-0002-4019-6680)
- Yanbei Liu
- Congcong Yuan (ORCID: https://orcid.org/0000-0001-8760-5069)
- Dawei Meng (ORCID: https://orcid.org/0000-0002-3529-3873)
- Zhaoxiang Ye (ORCID: https://orcid.org/0000-0003-3157-8393)
- Xubin Li (ORCID: https://orcid.org/0009-0008-5261-8044)
- Yi Li (ORCID: https://orcid.org/0000-0002-7187-3365)
Institutions
- Tiangong University (CN)
Publication Details
- Journal
- World Journal of Gastrointestinal Oncology
- Published
- 2024-11-08
- DOI
- https://doi.org/10.4251/wjgo.v16.i12.4663
- Citations
- 1
- Primary Topic
- Gastrointestinal Tumor Research and Treatment
- Type
- article
- Field-Weighted Citation Impact
- 0.46
Funders
- Tianjin Medical University
- Cancer Institute and Hospital, Chinese Academy of Medical Sciences