Investigation of Radiation-Induced Toxicity in Head and Neck Cancer Patients through Radiomics and Machine Learning: A Systematic Review

Background. Radiation-induced toxicity represents a crucial concern in oncological treatments of patients affected by head and neck neoplasms, due to its impact on survivors' quality of life. Published reports suggested the potential of radiomics combined with machine learning methods in the pr...

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Detalles Bibliográficos
Autores principales: Carbonara, Roberta, Bonomo, Pierluigi, Di Rito, Alessia, Didonna, Vittorio, Gregucci, Fabiana, Ciliberti, Maria Paola, Surgo, Alessia, Bonaparte, Ilaria, Fiorentino, Alba, Sardaro, Angela
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2021
Materias:
Review Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8211491/
https://www.ncbi.nlm.nih.gov/pubmed/34211551
http://dx.doi.org/10.1155/2021/5566508

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8211491/
https://www.ncbi.nlm.nih.gov/pubmed/34211551
http://dx.doi.org/10.1155/2021/5566508

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