Comparison of Machine-Learning and Deep-Learning Methods for the Prediction of Osteoradionecrosis Resulting From Head and Neck Cancer Radiation Therapy

PURPOSE: Deep-learning (DL) techniques have been successful in disease-prediction tasks and could improve the prediction of mandible osteoradionecrosis (ORN) resulting from head and neck cancer (HNC) radiation therapy. In this study, we retrospectively compared the performance of DL algorithms and t...

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Detalles Bibliográficos
Autores principales: Reber, Brandon, Van Dijk, Lisanne, Anderson, Brian, Mohamed, Abdallah Sherif Radwan, Fuller, Clifton, Lai, Stephen, Brock, Kristy
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Scientific Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9926206/
https://www.ncbi.nlm.nih.gov/pubmed/36798732
http://dx.doi.org/10.1016/j.adro.2022.101163

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9926206/
https://www.ncbi.nlm.nih.gov/pubmed/36798732
http://dx.doi.org/10.1016/j.adro.2022.101163

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