Construction of a risk screening and visualization system for pulmonary nodule in physical examination population based on feature self-recognition machine learning model
The feature self-recognition machine learning model effectively aids in the early prediction and clinical identification of pulmonary nodule risk, facilitating timely intervention and improving patient prognosis.
Authors
- Tian Fang (ORCID: https://orcid.org/0000-0001-5388-1081)
- Kaiwen Hou (ORCID: https://orcid.org/0009-0007-5242-2108)
- Yongchun Lin
- Fei Fang (ORCID: https://orcid.org/0000-0003-2256-8329)
- Liangjiao Wang
Institutions
- Tibet Autonomous Region People's Hospital (CN)
Publication Details
- Journal
- Frontiers in Medicine
- Published
- 2025-03-04
- DOI
- https://doi.org/10.3389/fmed.2024.1424750
- Citations
- 1
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 1.36