Radiomics from Various Tumour Volume Sizes for Prognosis Prediction of Head and Neck Squamous Cell Carcinoma: A Voted Ensemble Machine Learning Approach.
Fuk Hay TangEva-Yi-Wah CheungHiu-Lam WongChun-Ming YuenMan-Hei YuPui-Ching HoPublished in: Life (Basel, Switzerland) (2022)
Our study demonstrates that the proposed VEML model can accurately predict the prognosis of HNSCC patients using radiomics features from various tumour volumes.