Differentiation of pancreatic ductal adenocarcinoma and chronic pancreatitis using graph neural networks on histopathology and collagen fiber features is a research paper published in Journal of Pathology Informatics (2022). On theSindex it has a DataRank of 0. It has been cited 29 times.
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National Institutes of Health
Grant: U54CA268069
National Institutes of Health
Grant: P41GM135019
National Institutes of Health
Grant: R01CA238191
National Institutes of Health
Grant: 1P41GM135019-01
Center for Open Bioimage Analysis
National Institutes of Health
Grant: 3R01CA238191-02S1
Quantitative histopathology for cancer prognosis using quantitative phase imaging on stained tissues
National Institutes of Health
Grant: 1U54CA268069-01
Center for Multiparametric Imaging of Tumor Immune Microenvironments
Semiconductor Research Corporation
Fields of Study
Keywords
Sustainable Development Goals
Additional file 1 of Performance comparison between multi-center histopathology datasets of a weakly-supervised deep learning model for pancreatic ductal adenocarcinoma detection
Additional file 1 of Performance comparison between multi-center histopathology datasets of a weakly-supervised deep learning model for pancreatic ductal adenocarcinoma detection