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  • [\'Department of Computer Science and Technology, Heilongjiang University, Harbin, China.\', \'Center for Brain Imaging Science and Technology, Zhejiang University, Hangzhou, China.\', \'Imaging Biomarkers and Computer-Aided Diagnosis Laboratory, Radiology and Imaging Sciences, National Institutes of Health Clinical Center, Bethesda, MD, USA.\', \'Department of Computer Science and Information Technology, La Trobe University, Melbourne, Australia.\', \'College of Computer Science, Nankai University, Tianjin, China.\', \'Department of Computer Science and Technology, Heilongjiang University, Harbin, China. Electronic address: majiquan@hlju.edu.cn.\', \'National Engineering Laboratory for Integrated Aero-Space-Ground-Ocean Big Data Application Technology, School of Computer Science and Engineering, Northwestern Polytechnical University, Xi\'an, China. Electronic address: gengchen@mail.nwpu.edu.cn.\']
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  • -1
?:creator
?:doi
?:doi
  • S1361-8415(21)00250-410.1016/j.media.2021.102205
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?:journal
  • Medical image analysis
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  • 34425317
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  • 1.928
?:rankingScore_hIndex
  • 105
?:title
  • COVID-19 lung infection segmentation with a novel two-stage cross-domain transfer learning framework.
?:type
?:year
  • 2021

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