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Emergency triage of brain computed tomography via anomaly detection with a deep generative model.
Lee, Seungjun; Jeong, Boryeong; Kim, Minjee; Jang, Ryoungwoo; Paik, Wooyul; Kang, Jiseon; Chung, Won Jung; Hong, Gil-Sun; Kim, Namkug.
Afiliação
  • Lee S; Department of Convergence Medicine, University of Ulsan College of Medicine, Asan Medical Center, Seoul, Republic of Korea.
  • Jeong B; Department of Radiology and Research Institute of Radiology, University of Ulsan College of Medicine, Asan Medical Center, Seoul, Republic of Korea.
  • Kim M; Department of Convergence Medicine, University of Ulsan College of Medicine, Asan Medical Center, Seoul, Republic of Korea.
  • Jang R; Department of Convergence Medicine, University of Ulsan College of Medicine, Asan Medical Center, Seoul, Republic of Korea.
  • Paik W; Department of Radiology, Gangneung Asan Hospital, University of Ulsan College of Medicine, Gangneung, Republic of Korea.
  • Kang J; Department of Radiology and Research Institute of Radiology, University of Ulsan College of Medicine, Asan Medical Center, Seoul, Republic of Korea.
  • Chung WJ; Department of Health Screening and Promotion Center, University of Ulsan College of Medicine, Asan Medical Center, Seoul, Republic of Korea.
  • Hong GS; Department of Radiology and Research Institute of Radiology, University of Ulsan College of Medicine, Asan Medical Center, Seoul, Republic of Korea. hgs2013@gmail.com.
  • Kim N; Department of Convergence Medicine, University of Ulsan College of Medicine, Asan Medical Center, Seoul, Republic of Korea. namkugkim@gmail.com.
Nat Commun ; 13(1): 4251, 2022 07 22.
Article em En | MEDLINE | ID: mdl-35869112
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Triagem / Serviço Hospitalar de Emergência Tipo de estudo: Diagnostic_studies / Prognostic_studies / Screening_studies Limite: Humans Idioma: En Ano de publicação: 2022 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Triagem / Serviço Hospitalar de Emergência Tipo de estudo: Diagnostic_studies / Prognostic_studies / Screening_studies Limite: Humans Idioma: En Ano de publicação: 2022 Tipo de documento: Article