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Improving Prognostic Performance in Resectable Pancreatic Ductal Adenocarcinoma using Radiomics and Deep Learning Features Fusion in CT Images.

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Discovery of cross-reactive probes and polymorphic CpGs in the Illumina Infinium HumanMethylation450 microarray, , , , , , , , and . Epigenetics, 8 (2): 203-209 (2013)PMID: 23314698.Improving Prognostic Value of CT Deep Radiomic Features in Pancreatic Ductal Adenocarcinoma Using Transfer Learning., , , , , and . CoRR, (2019)Whole genomes define concordance of matched primary, xenograft, and organoid models of pancreas cancer., , , , , , , , , and 9 other author(s). PLoS Comput. Biol., (2019)CNN-based survival model for pancreatic ductal adenocarcinoma in medical imaging., , , , , and . BMC Medical Imaging, 20 (1): 11 (2020)CNN-based Survival Model for Pancreatic Ductal Adenocarcinoma in Medical Imaging., , , , , and . CoRR, (2019)Prognostic Value of Transfer Learning Based Features in Resectable Pancreatic Ductal Adenocarcinoma., , , , , and . Frontiers Artif. Intell., (2020)Improving Prognostic Performance in Resectable Pancreatic Ductal Adenocarcinoma using Radiomics and Deep Learning Features Fusion in CT Images., , , , , and . CoRR, (2019)