Fully automated 3D body composition analysis and its association with overall survival in head and neck squamous cell carcinoma patients

OBJECTIVES: We developed a method for a fully automated deep-learning segmentation of tissues to investigate if 3D body composition measurements are significant for survival of Head and Neck Squamous Cell Carcinoma (HNSCC) patients. METHODS: 3D segmentation of tissues including spine, spine muscles,...

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Detalles Bibliográficos
Autores principales: Rozynek, Miłosz, Gut, Daniel, Kucybała, Iwona, Strzałkowska-Kominiak, Ewa, Tabor, Zbisław, Urbanik, Andrzej, Kłęk, Stanisław, Wojciechowski, Wadim
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/PMC10621032/
https://www.ncbi.nlm.nih.gov/pubmed/37927466
http://dx.doi.org/10.3389/fonc.2023.1176425

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10621032/
https://www.ncbi.nlm.nih.gov/pubmed/37927466
http://dx.doi.org/10.3389/fonc.2023.1176425

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