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

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

Abstract 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 p...

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Bibliographic Details
Main Authors: Yucheng Zhang, Edrise M. Lobo-Mueller, Paul Karanicolas, Steven Gallinger, Masoom A. Haider, Farzad Khalvati
Format: Article
Language:English
Published: BMC 2020-02-01
Series:BMC Medical Imaging
Subjects:
Cox proportional hazard model
Radiomics
Convolutional neural network
Survial analysis
Online Access:https://doi.org/10.1186/s12880-020-0418-1

Internet

https://doi.org/10.1186/s12880-020-0418-1

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