Classification of head and neck cancer from PET images using convolutional neural networks

The aim of this study was to develop a convolutional neural network (CNN) for classifying positron emission tomography (PET) images of patients with and without head and neck squamous cell carcinoma (HNSCC) and other types of head and neck cancer. A PET/magnetic resonance imaging scan with (18)F-flu...

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Detalles Bibliográficos
Autores principales: Hellström, Henri, Liedes, Joonas, Rainio, Oona, Malaspina, Simona, Kemppainen, Jukka, Klén, Riku
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10310830/
https://www.ncbi.nlm.nih.gov/pubmed/37386289
http://dx.doi.org/10.1038/s41598-023-37603-1

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10310830/
https://www.ncbi.nlm.nih.gov/pubmed/37386289
http://dx.doi.org/10.1038/s41598-023-37603-1

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