Predicting head and neck cancer treatment outcomes with pre-treatment quantitative ultrasound texture features and optimising machine learning classifiers with texture-of-texture features

AIM: Cancer treatments with radiation present a challenging physical toll for patients, which can be justified by the potential reduction in cancerous tissue with treatment. However, there remain patients for whom treatments do not yield desired outcomes. Radiomics involves using biomedical images t...

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Detalles Bibliográficos
Autores principales: Safakish, Aryan, Sannachi, Lakshmanan, DiCenzo, Daniel, Kolios, Christopher, Pejović-Milić, Ana, Czarnota, Gregory J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Oncology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10578955/
https://www.ncbi.nlm.nih.gov/pubmed/37849805
http://dx.doi.org/10.3389/fonc.2023.1258970

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10578955/
https://www.ncbi.nlm.nih.gov/pubmed/37849805
http://dx.doi.org/10.3389/fonc.2023.1258970

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