Deep learning radiomics fusion model to predict visceral pleural invasion of clinical stage IA lung adenocarcinoma: a multicenter study
Abstract Aim To assess the predictive performance, risk stratification capabilities, and auxiliary diagnostic utility of radiomics, deep learning, and fusion models in identifying visceral pleural invasion (VPI) in lung adenocarcinoma. Materials and methods A total of 449 patients (female:male, 263:...
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| Huvudupphov: | , , , , , , |
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| Materialtyp: | Artigo |
| Språk: | Inglês |
| Utgiven: |
BMC
2025-05-01
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| Serie: | Journal of Cardiothoracic Surgery |
| Ämnen: | |
| Länkar: | https://doi.org/10.1186/s13019-025-03488-6 |
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