Head and neck cancer treatment outcome prediction: a comparison between machine learning with conventional radiomics features and deep learning radiomics

BACKGROUND: Radiomics can provide in-depth characterization of cancers for treatment outcome prediction. Conventional radiomics rely on extraction of image features within a pre-defined image region of interest (ROI) which are typically fed to a classification algorithm for prediction of a clinical...

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Detalles Bibliográficos
Autores principales: Huynh, Bao Ngoc, Groendahl, Aurora Rosvoll, Tomic, Oliver, Liland, Kristian Hovde, Knudtsen, Ingerid Skjei, Hoebers, Frank, van Elmpt, Wouter, Malinen, Eirik, Dale, Einar, Futsaether, Cecilia Marie
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Medicine
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10498924/
https://www.ncbi.nlm.nih.gov/pubmed/37711738
http://dx.doi.org/10.3389/fmed.2023.1217037

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10498924/
https://www.ncbi.nlm.nih.gov/pubmed/37711738
http://dx.doi.org/10.3389/fmed.2023.1217037

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