Deep segmentation networks predict survival of non-small cell lung cancer

Non-small-cell lung cancer (NSCLC) represents approximately 80–85% of lung cancer diagnoses and is the leading cause of cancer-related death worldwide. Recent studies indicate that image-based radiomics features from positron emission tomography/computed tomography (PET/CT) images have predictive po...

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Detalles Bibliográficos
Autores principales: Baek, Stephen, He, Yusen, Allen, Bryan G., Buatti, John M., Smith, Brian J., Tong, Ling, Sun, Zhiyu, Wu, Jia, Diehn, Maximilian, Loo, Billy W., Plichta, Kristin A., Seyedin, Steven N., Gannon, Maggie, Cabel, Katherine R., Kim, Yusung, Wu, Xiaodong
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/PMC6872742/
https://www.ncbi.nlm.nih.gov/pubmed/31754135
http://dx.doi.org/10.1038/s41598-019-53461-2

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6872742/
https://www.ncbi.nlm.nih.gov/pubmed/31754135
http://dx.doi.org/10.1038/s41598-019-53461-2

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