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Exploration of optimal thresholds for predicting the invasive nature of stage T1 lung adenocarcinoma using artificial intelligence-based 3D solid component volume segmentation.
Shi W, Hu Y, Sun Y, Chang G, Yang Y, Song Y, Qian H, Wei Z, Zhao L, Li M, Li X, Zheng H. Shi W, et al. Among authors: qian h. Quant Imaging Med Surg. 2025 Jan 2;15(1):249-258. doi: 10.21037/qims-24-1627. Epub 2024 Dec 16. Quant Imaging Med Surg. 2025. PMID: 39839017 Free PMC article.
Development of a clinical prediction model for benign and malignant pulmonary nodules with a CTR ≥ 50% utilizing artificial intelligence-driven radiomics analysis.
Shi W, Hu Y, Chang G, Qian H, Yang Y, Song Y, Wei Z, Gao L, Yi H, Wu S, Wang K, Huo H, Wang S, Mao Y, Ai S, Zhao L, Li X, Zheng H. Shi W, et al. Among authors: qian h. BMC Med Imaging. 2025 Jan 17;25(1):21. doi: 10.1186/s12880-024-01533-9. BMC Med Imaging. 2025. PMID: 39825237 Free PMC article.
5,144 results