Cita APA (7a ed.)
Zhou, Y., Ma, X., Zhang, T., Wang, J., Zhang, T., & Tian, R. (2021). Use of radiomics based on 18F-FDG PET/CT and machine learning methods to aid clinical decision-making in the classification of solitary pulmonary lesions: An innovative approach. European Journal of Nuclear Medicine & Molecular Imaging, 48(9), 2904-2914.
Cita Chicago Style (17a ed.)
Zhou, Yi, Xue-lei Ma, Ting Zhang, Jian Wang, Tao Zhang, y Rong Tian. "Use of Radiomics Based on 18F-FDG PET/CT and Machine Learning Methods to Aid Clinical Decision-making in the Classification of Solitary Pulmonary Lesions: An Innovative Approach." European Journal of Nuclear Medicine & Molecular Imaging 48, no. 9 (2021): 2904-2914.
Cita MLA (9a ed.)
Zhou, Yi, et al. "Use of Radiomics Based on 18F-FDG PET/CT and Machine Learning Methods to Aid Clinical Decision-making in the Classification of Solitary Pulmonary Lesions: An Innovative Approach." European Journal of Nuclear Medicine & Molecular Imaging, vol. 48, no. 9, 2021, pp. 2904-2914.
Precaución: Estas citas no son 100% exactas.