APA (7th ed.) Citation

FH, T., EY, C., HL, W., CM, Y., MH, Y., & PC, H. (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), . https://doi.org/10.3390/life12091380

Chicago Style (17th ed.) Citation

FH, Tang, Cheung EY, Wong HL, Yuen CM, Yu MH, and Ho PC. "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). https://doi.org/10.3390/life12091380.

MLA (9th ed.) Citation

FH, Tang, 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, https://doi.org/10.3390/life12091380.