An ensemble machine learning model assists in the diagnosis of gastric ectopic pancreas and gastric stromal tumors
No studies yet differentiated these tumors via radiomics or DL. Radiomics and DL methodologies unveil potentially distinct phenotypes within lesions. Quantitative analysis on CT for GIST and ectopic pancreas. Ensemble learning aids accurate diagnoses, assisting treatment decisions.
Authors
- Rongchao Shi
- Kui Sun (ORCID: https://orcid.org/0000-0002-6657-3093)
- Ying Wang (ORCID: https://orcid.org/0000-0002-3275-200X)
- Siyu Wu
- Ximing Wang
Institutions
- Capital Medical University (CN)
- Peking University (CN)
- Shandong Provincial Hospital (CN)
- Peking University Third Hospital (CN)
- Beijing Friendship Hospital (CN)
- Shandong First Medical University (CN)
Publication Details
- Journal
- Insights into Imaging
- Published
- 2024-09-19
- DOI
- https://doi.org/10.1186/s13244-024-01809-2
- Citations
- 2
- Primary Topic
- Gastrointestinal disorders and treatments
- Type
- article
- Field-Weighted Citation Impact
- 1.15
Funders
- National Natural Science Foundation of China