Deep learning in head & neck cancer outcome prediction

Traditional radiomics involves the extraction of quantitative texture features from medical images in an attempt to determine correlations with clinical endpoints. We hypothesize that convolutional neural networks (CNNs) could enhance the performance of traditional radiomics, by detecting image patt...

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Detalles Bibliográficos
Autores principales: Diamant, André, Chatterjee, Avishek, Vallières, Martin, Shenouda, George, Seuntjens, Jan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6391436/
https://www.ncbi.nlm.nih.gov/pubmed/30809047
http://dx.doi.org/10.1038/s41598-019-39206-1

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6391436/
https://www.ncbi.nlm.nih.gov/pubmed/30809047
http://dx.doi.org/10.1038/s41598-019-39206-1

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