Radiomics and Machine Learning for Radiotherapy in Head and Neck Cancers

Introduction: An increasing number of parameters can be considered when making decisions in oncology. Tumor characteristics can also be extracted from imaging through the use of radiomics and add to this wealth of clinical data. Machine learning can encompass these parameters and thus enhance clinic...

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Detalles Bibliográficos
Autores principales: Giraud, Paul, Giraud, Philippe, Gasnier, Anne, El Ayachy, Radouane, Kreps, Sarah, Foy, Jean-Philippe, Durdux, Catherine, Huguet, Florence, Burgun, Anita, Bibault, Jean-Emmanuel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2019
Materias:
Oncology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6445892/
https://www.ncbi.nlm.nih.gov/pubmed/30972291
http://dx.doi.org/10.3389/fonc.2019.00174

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6445892/
https://www.ncbi.nlm.nih.gov/pubmed/30972291
http://dx.doi.org/10.3389/fonc.2019.00174

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