APA (7th ed.) Citation

Zhang, Y., Liu, H., Chang, C., Yin, Y., & Wang, R. (2024). Machine learning for differentiating lung squamous cell cancer from adenocarcinoma using Clinical-Metabolic characteristics and 18F-FDG PET/CT radiomics. PloS one, 19(4), e0300170. https://doi.org/10.1371/journal.pone.0300170

Chicago Style (17th ed.) Citation

Zhang, Yalin, Huiling Liu, Cheng Chang, Yong Yin, and Ruozheng Wang. "Machine Learning for Differentiating Lung Squamous Cell Cancer from Adenocarcinoma Using Clinical-Metabolic Characteristics and 18F-FDG PET/CT Radiomics." PloS One 19, no. 4 (2024): e0300170. https://doi.org/10.1371/journal.pone.0300170.

MLA (9th ed.) Citation

Zhang, Yalin, et al. "Machine Learning for Differentiating Lung Squamous Cell Cancer from Adenocarcinoma Using Clinical-Metabolic Characteristics and 18F-FDG PET/CT Radiomics." PloS One, vol. 19, no. 4, 2024, p. e0300170, https://doi.org/10.1371/journal.pone.0300170.