Tang, F.-H.; Cheung, E.-Y.-W.; Wong, H.-L.; Yuen, C.-M.; Yu, M.-H.; Ho, P.-C.
Radiomics from Various Tumour Volume Sizes for Prognosis Prediction of Head and Neck Squamous Cell Carcinoma: A Voted Ensemble Machine Learning Approach. Life 2022, 12, 1380.
https://doi.org/10.3390/life12091380
AMA Style
Tang F-H, Cheung E-Y-W, Wong H-L, Yuen C-M, Yu M-H, Ho P-C.
Radiomics from Various Tumour Volume Sizes for Prognosis Prediction of Head and Neck Squamous Cell Carcinoma: A Voted Ensemble Machine Learning Approach. Life. 2022; 12(9):1380.
https://doi.org/10.3390/life12091380
Chicago/Turabian Style
Tang, Fuk-Hay, Eva-Yi-Wah Cheung, Hiu-Lam Wong, Chun-Ming Yuen, Man-Hei Yu, and Pui-Ching Ho.
2022. "Radiomics from Various Tumour Volume Sizes for Prognosis Prediction of Head and Neck Squamous Cell Carcinoma: A Voted Ensemble Machine Learning Approach" Life 12, no. 9: 1380.
https://doi.org/10.3390/life12091380
APA Style
Tang, F.-H., Cheung, E.-Y.-W., Wong, H.-L., Yuen, C.-M., Yu, M.-H., & Ho, P.-C.
(2022). Radiomics from Various Tumour Volume Sizes for Prognosis Prediction of Head and Neck Squamous Cell Carcinoma: A Voted Ensemble Machine Learning Approach. Life, 12(9), 1380.
https://doi.org/10.3390/life12091380
