CZ, B., R, Z., SY, D., ZW, L., DH, C., JS, S., & QG, H. (2025). Joint model based on intratumoral and peritumoral computed tomography radiomics integrated with clinical features for predicting the spread through air spaces in lung adenocarcinoma: A multicenter study. Quantitative imaging in medicine and surgery, 15(10), 10020. https://doi.org/10.21037/qims-2024-2836
Chicago Style (17th ed.) CitationCZ, Bao, Zhang R, Deng SY, Liu ZW, Chen DH, Sun JS, and Hu QG. "Joint Model Based on Intratumoral and Peritumoral Computed Tomography Radiomics Integrated with Clinical Features for Predicting the Spread Through Air Spaces in Lung Adenocarcinoma: A Multicenter Study." Quantitative Imaging in Medicine and Surgery 15, no. 10 (2025): 10020. https://doi.org/10.21037/qims-2024-2836.
MLA (9th ed.) CitationCZ, Bao, et al. "Joint Model Based on Intratumoral and Peritumoral Computed Tomography Radiomics Integrated with Clinical Features for Predicting the Spread Through Air Spaces in Lung Adenocarcinoma: A Multicenter Study." Quantitative Imaging in Medicine and Surgery, vol. 15, no. 10, 2025, p. 10020, https://doi.org/10.21037/qims-2024-2836.
