Xianqi Wang

Government of the People's Republic of China - Department of Radiology

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Scholarly Papers (1)

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Multi-Modal Fusion of Radiomics and Pathomics to Predict the Survival of Pancreatic Cancer Patients Based on Asymmetric Twinning Information Interaction Network

Number of pages: 20 Posted: 27 Oct 2022
Government of the People's Republic of China - Department of Radiology, Government of the People's Republic of China - Department of Radiology, Chinese Academy of Sciences (CAS), Government of the People's Republic of China - Department of Radiology, Government of the People's Republic of China - Department of Radiology, Government of the People's Republic of China - Department of Radiology, Government of the People's Republic of China - Department of Radiology, Government of the People's Republic of China - Department of Radiology, Government of the People's Republic of China - Department of Pathology, Government of the People's Republic of China - Department of Hepatology, Chinese Academy of Sciences (CAS) and Government of the People's Republic of China - Department of Radiology
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Abstract:

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Pancreatic Cancer, CT, Radiomics, Phatomics, Deep Learning