CNN-based survival model for pancreatic ductal adenocarcinoma in medical imaging

BACKGROUND: Cox proportional hazard model (CPH) is commonly used in clinical research for survival analysis. In quantitative medical imaging (radiomics) studies, CPH plays an important role in feature reduction and modeling. However, the underlying linear assumption of CPH model limits the prognosti...

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Detalles Bibliográficos
Autores principales: Zhang, Yucheng, Lobo-Mueller, Edrise M., Karanicolas, Paul, Gallinger, Steven, Haider, Masoom A., Khalvati, Farzad
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6998249/
https://www.ncbi.nlm.nih.gov/pubmed/32013871
http://dx.doi.org/10.1186/s12880-020-0418-1

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6998249/
https://www.ncbi.nlm.nih.gov/pubmed/32013871
http://dx.doi.org/10.1186/s12880-020-0418-1

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