Deep Learning for Automated Liver Segmentation to Aid in the Study of Infectious Diseases in Nonhuman Primates.

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第一作者： Syed M S,Reza

第一单位： Center for Infectious Disease Imaging, Radiology and Imaging Sciences, Clinical Center, National Institutes of Health (NIH), Bethesda, MD, 20814, USA.

作者： Syed M S,Reza ^[1] ; Dara,Bradley ^[1] ; Nina,Aiosa ^[1] ; Marcelo,Castro ^[2] ; Ji Hyun,Lee ^[2] ; Byeong-Yeul,Lee ^[2] ; Richard S,Bennett ^[2] ; Lisa E,Hensley ^[2] ; Yu,Cong ^[2] ; Reed,Johnson ^[2] ; Dima,Hammoud ^[1] ; Irwin,Feuerstein ^[2] ; Jeffrey,Solomon ^[3]

作者单位： Center for Infectious Disease Imaging, Radiology and Imaging Sciences, Clinical Center, National Institutes of Health (NIH), Bethesda, MD, 20814, USA. ^[1] Integrated Research Facility, Division of Clinical Research, National Institute of Allergy and Infectious Diseases (NIAID), Frederick, MD, 21702, USA. ^[2] Integrated Research Facility, Division of Clinical Research, National Institute of Allergy and Infectious Diseases (NIAID), Frederick, MD, 21702, USA; Clinical Monitoring Research Program Directorate, Frederick National Laboratory for Cancer Research sponsored by the National Cancer Institute (NCI), Frederick, MD, 21702, USA. Electronic address: Jeffrey.solomon@nih.gov. ^[3]

关键词 CT deep learning infectious disease liver nonhuman primate segmentation whole-body

主题词动物(Animals);传染病(Communicable Diseases);图像处理, 计算机辅助(Image Processing, Computer-Assisted);肝(Liver);灵长目(Primates)

DOI 10.1016/j.acra.2020.08.023

PMID 32943333

发布时间 2024-06-15

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