Radiomics from Various Tumour Volume Sizes for Prognosis Prediction of Head and Neck Squamous Cell Carcinoma: A Voted Ensemble Machine Learning Approach

Background: Traditionally, cancer prognosis was determined by tumours size, lymph node spread and presence of metastasis (TNM staging). Radiomics of tumour volume has recently been used for prognosis prediction. In the present study, we evaluated the effect of various sizes of tumour volume. A voted...

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Detalles Bibliográficos
Autores principales: Tang, Fuk-Hay, Cheung, Eva-Yi-Wah, Wong, Hiu-Lam, Yuen, Chun-Ming, Yu, Man-Hei, Ho, Pui-Ching
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9505304/
https://www.ncbi.nlm.nih.gov/pubmed/36143416
http://dx.doi.org/10.3390/life12091380

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9505304/
https://www.ncbi.nlm.nih.gov/pubmed/36143416
http://dx.doi.org/10.3390/life12091380

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