Cita APA (7a ed.)
Ren, C., Zhang, J., Qi, M., Zhang, J., Zhang, Y., Song, S., . . . Cheng, J. (2021). Machine learning based on clinico-biological features integrated 18F-FDG PET/CT radiomics for distinguishing squamous cell carcinoma from adenocarcinoma of lung. European Journal of Nuclear Medicine & Molecular Imaging, 48(5), 1538-1550.
Cita Chicago Style (17a ed.)
Ren, Caiyue, Jianping Zhang, Ming Qi, Jiangang Zhang, Yingjian Zhang, Shaoli Song, Yun Sun, y Jingyi Cheng. "Machine Learning Based on Clinico-biological Features Integrated 18F-FDG PET/CT Radiomics for Distinguishing Squamous Cell Carcinoma from Adenocarcinoma of Lung." European Journal of Nuclear Medicine & Molecular Imaging 48, no. 5 (2021): 1538-1550.
Cita MLA (9a ed.)
Ren, Caiyue, et al. "Machine Learning Based on Clinico-biological Features Integrated 18F-FDG PET/CT Radiomics for Distinguishing Squamous Cell Carcinoma from Adenocarcinoma of Lung." European Journal of Nuclear Medicine & Molecular Imaging, vol. 48, no. 5, 2021, pp. 1538-1550.
Precaución: Estas citas no son 100% exactas.