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Correction to: Decoding COVID-19 pneumonia: comparison of deep learning and radiomics CT image signatures.
Wang, Hongmei; Wang, Lu; Lee, Edward H; Zheng, Jimmy; Zhang, Wei; Halabi, Safwan; Liu, Chunlei; Deng, Kexue; Song, Jiangdian; Yeom, Kristen W.
  • Wang H; Department of Radiology, The First Affiliated Hospital of University of Science and Technology of China (USTC), Division of Life Sciences and Medicine, USTC, Hefei, 230036, Anhui, China.
  • Wang L; School of Medical Informatics, China Medical University, Shenyang, 110122, Liaoning, China.
  • Lee EH; Department of Radiology, School of Medicine Stanford University, 725 Welch Rd MC 5654, Palo Alto, CA, 94305, USA.
  • Zheng J; Department of Radiology, School of Medicine Stanford University, 725 Welch Rd MC 5654, Palo Alto, CA, 94305, USA.
  • Zhang W; Department of Radiology, The Lu'an Affiliated Hospital, Anhui Medical University, Luan, 237000, Anhui, China.
  • Halabi S; Department of Radiology, School of Medicine Stanford University, 725 Welch Rd MC 5654, Palo Alto, CA, 94305, USA.
  • Liu C; Department of Electrical Engineering and Computer Sciences, University of California, Berkeley, CA, 94720, USA.
  • Deng K; Helen Wills Neuroscience Institute, University of California, Berkeley, CA, 94720, USA.
  • Song J; Department of Radiology, The First Affiliated Hospital of University of Science and Technology of China (USTC), Division of Life Sciences and Medicine, USTC, Hefei, 230036, Anhui, China.
  • Yeom KW; College of Medical Informatics, China Medical University, Shenyang, 110122, Liaoning, China. song.jd0910@gmail.com.
Eur J Nucl Med Mol Imaging ; 48(5): 1697, 2021 May.
Article in English | MEDLINE | ID: covidwho-1114293

Full text: Available Collection: International databases Database: MEDLINE Language: English Journal: Eur J Nucl Med Mol Imaging Journal subject: Nuclear Medicine Year: 2021 Document Type: Article Affiliation country: S00259-021-05268-5

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Full text: Available Collection: International databases Database: MEDLINE Language: English Journal: Eur J Nucl Med Mol Imaging Journal subject: Nuclear Medicine Year: 2021 Document Type: Article Affiliation country: S00259-021-05268-5