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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Dettagli Bibliografici
Pubblicato in:J Oncol
Autori principali: Carbonara, Roberta, Bonomo, Pierluigi, Di Rito, Alessia, Didonna, Vittorio, Gregucci, Fabiana, Ciliberti, Maria Paola, Surgo, Alessia, Bonaparte, Ilaria, Fiorentino, Alba, Sardaro, Angela
Natura: Artigo
Lingua:Inglês
Pubblicazione: Hindawi 2021
Soggetti:
Review Article
Accesso online:https://ncbi.nlm.nih.gov/pmc/articles/PMC8211491/
https://ncbi.nlm.nih.gov/pubmed/34211551
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1155/2021/5566508
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