Predictive power of deep-learning segmentation based prognostication model in non-small cell lung cancer

PURPOSE: The study aims to create a model to predict survival outcomes for non-small cell lung cancer (NSCLC) after treatment with stereotactic body radiotherapy (SBRT) using deep-learning segmentation based prognostication (DESEP). METHODS: The DESEP model was trained using imaging from 108 patient...

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Detalles Bibliográficos
Autores principales: Gainey, Jordan C., He, Yusen, Zhu, Robert, Baek, Stephen S., Wu, Xiaodong, Buatti, John M., Allen, Bryan G., Smith, Brian J., Kim, Yusung
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/PMC10110903/
https://www.ncbi.nlm.nih.gov/pubmed/37081986
http://dx.doi.org/10.3389/fonc.2023.868471

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10110903/
https://www.ncbi.nlm.nih.gov/pubmed/37081986
http://dx.doi.org/10.3389/fonc.2023.868471

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