Attention mechanism-based habitat analysis for predicting pleural invasion and prognosis of pulmonary nodules
The developed models show strong predictive capabilities for VPI and OS in cT1 stage lung adenocarcinoma, providing valuable non-invasive support for surgical decision-making.
Authors
- Xiaohui Duan (ORCID: https://orcid.org/0000-0002-1913-6683)
- Xiangfeng Gan (ORCID: https://orcid.org/0000-0001-5839-0468)
- H. Dai (ORCID: https://orcid.org/0000-0002-3576-5121)
- Wenzeng Chen
- Baishen Chen
- Wei Zhang (ORCID: https://orcid.org/0000-0003-4220-8400)
- Ju Chen (ORCID: https://orcid.org/0000-0001-7674-4776)
- Haohua Xu
- Zhuojian Shen (ORCID: https://orcid.org/0000-0003-4738-5780)
Institutions
- Sun Yat-sen University (CN)
- Sun Yat-sen Memorial Hospital (CN)
Publication Details
- Journal
- Translational Lung Cancer Research
- Published
- 2025-05-01
- DOI
- https://doi.org/10.21037/tlcr-2024-1122
- Citations
- 2
- Primary Topic
- Lung Cancer Diagnosis and Treatment
- Type
- article
- Field-Weighted Citation Impact
- 3.04