Multi-type classification of lung nodules based on CT radiomics and ensemble learning for diversity weighting
The combination of CT radiomics and ensemble learning for diversity weighting can be well realized to identify the type of lung nodules.
Authors
- Yue Che (ORCID: https://orcid.org/0000-0002-9318-8123)
- Xin Chen (ORCID: https://orcid.org/0000-0002-5208-2154)
- Guozhi Tang (ORCID: https://orcid.org/0000-0003-0859-5195)
- Lingyan Du (ORCID: https://orcid.org/0000-0002-1743-0539)
- S.-F. Ling (ORCID: https://orcid.org/0009-0006-5520-6665)
Institutions
- Yibin University (CN)
- Zigong First People's Hospital (CN)
- Sichuan University of Science and Engineering (CN)
Publication Details
- Journal
- Quantitative Imaging in Medicine and Surgery
- Published
- 2024-12-01
- DOI
- https://doi.org/10.21037/qims-24-1315
- Citations
- 3
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 1.21