Risk-score based fusion of radiomics and deep learning features from CT images improves AUC for overall survival prediction in resectable PDAC by 51% over radiomics alone.
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q-bio.QM 2years
2019 2verdicts
UNVERDICTED 2representative citing papers
CNN survival model on PDAC CT images reports 22% higher concordance index than traditional Cox proportional hazards radiomics.
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Improving Prognostic Performance in Resectable Pancreatic Ductal Adenocarcinoma using Radiomics and Deep Learning Features Fusion in CT Images
Risk-score based fusion of radiomics and deep learning features from CT images improves AUC for overall survival prediction in resectable PDAC by 51% over radiomics alone.
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CNN-based Survival Model for Pancreatic Ductal Adenocarcinoma in Medical Imaging
CNN survival model on PDAC CT images reports 22% higher concordance index than traditional Cox proportional hazards radiomics.