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A review of deep learning in medical imaging: Imaging traits, technology trends, case studies with progress highlights, and future promises.

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第一作者： S Kevin,Zhou

第一单位： School of Biomedical Engineering, University of Science and Technology of China and Institute of Computing Technology, Chinese Academy of Sciences.

作者： S Kevin,Zhou ^[1] ; Hayit,Greenspan ^[2] ; Christos,Davatzikos ^[3] ; James S,Duncan ^[4] ; Bram,van Ginneken ^[5] ; Anant,Madabhushi ^[6] ; Jerry L,Prince ^[7] ; Daniel,Rueckert ^[8] ; Ronald M,Summers ^[9]

作者单位： School of Biomedical Engineering, University of Science and Technology of China and Institute of Computing Technology, Chinese Academy of Sciences. ^[1] Biomedical Engineering Department, Tel-Aviv University, Israel. ^[2] Radiology Department and Electrical and Systems Engineering Department, University of Pennsylvania, USA. ^[3] Departments of Biomedical Engineering and Radiology & Biomedical Imaging, Yale University. ^[4] Radboud University Medical Center, the Netherlands. ^[5] Department of Biomedical Engineering, Case Western Reserve University and Louis Stokes Cleveland Veterans Administration Medical Center, USA. ^[6] Electrical and Computer Engineering Department, Johns Hopkins University, USA. ^[7] Klinikum rechts der Isar, TU Munich, Germany and Department of Computing, Imperial College, UK. ^[8] National Institute of Health Clinical Center, USA. ^[9]

关键词 Medical imaging deep learning survey

DOI 10.1109/JPROC.2021.3054390

PMID 37786449

发布时间 2024-09-26

基金项目

IK6 BX006185/BX/BLRD VA/United States U24 CA199374/CA/NCI NIH HHS/United States U01 CA239055/CA/NCI NIH HHS/United States R01 HL158071/HL/NHLBI NIH HHS/United States R01 CA268287/CA/NCI NIH HHS/United States R01 CA249992/CA/NCI NIH HHS/United States R01 HL151277/HL/NHLBI NIH HHS/United States R01 CA220581/CA/NCI NIH HHS/United States R01 CA216579/CA/NCI NIH HHS/United States R01 CA268207/CA/NCI NIH HHS/United States R01 CA202752/CA/NCI NIH HHS/United States R01 CA208236/CA/NCI NIH HHS/United States U01 CA248226/CA/NCI NIH HHS/United States I01 BX004121/BX/BLRD VA/United States R43 EB028736/EB/NIBIB NIH HHS/United States U01 CA269181/CA/NCI NIH HHS/United States R01 CA257612/CA/NCI NIH HHS/United States U54 CA254566/CA/NCI NIH HHS/United States

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