APA (7th ed.) Citation

Tang, F., Cheung, E., Wong, H., Yuen, C., Yu, M., & Ho, P. (2022). Radiomics from Various Tumour Volume Sizes for Prognosis Prediction of Head and Neck Squamous Cell Carcinoma: A Voted Ensemble Machine Learning Approach. Life (Basel, Switzerland), 12(9), 1380. https://doi.org/10.3390/life12091380

Chicago Style (17th ed.) Citation

Tang, Fuk-Hay, Eva-Yi-Wah Cheung, Hiu-Lam Wong, Chun-Ming Yuen, Man-Hei Yu, and Pui-Ching Ho. "Radiomics from Various Tumour Volume Sizes for Prognosis Prediction of Head and Neck Squamous Cell Carcinoma: A Voted Ensemble Machine Learning Approach." Life (Basel, Switzerland) 12, no. 9 (2022): 1380. https://doi.org/10.3390/life12091380.

MLA (9th ed.) Citation

Tang, Fuk-Hay, et al. "Radiomics from Various Tumour Volume Sizes for Prognosis Prediction of Head and Neck Squamous Cell Carcinoma: A Voted Ensemble Machine Learning Approach." Life (Basel, Switzerland), vol. 12, no. 9, 2022, p. 1380, https://doi.org/10.3390/life12091380.