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COVID-19 pneumonia on chest X-rays: Performance of a deep learning-based computer-aided detection system.
Hwang, Eui Jin; Kim, Ki Beom; Kim, Jin Young; Lim, Jae-Kwang; Nam, Ju Gang; Choi, Hyewon; Kim, Hyungjin; Yoon, Soon Ho; Goo, Jin Mo; Park, Chang Min.
Affiliation
  • Hwang EJ; Department of Radiology, Seoul National University College of Medicine, Seoul, Korea.
  • Kim KB; Department of Radiology, Seoul National University Hospital, Seoul, Korea.
  • Kim JY; Department of Radiology, Daegu Fatima Hospital, Daegu, Korea.
  • Lim JK; Department of Radiology, Keimyung University School of Medicine, Daegu, Korea.
  • Nam JG; Department of Radiology, School of Medicine, Kyungpook National University, Daegu, Korea.
  • Choi H; Department of Radiology, Seoul National University College of Medicine, Seoul, Korea.
  • Kim H; Department of Radiology, Seoul National University Hospital, Seoul, Korea.
  • Yoon SH; Department of Radiology, Seoul National University College of Medicine, Seoul, Korea.
  • Goo JM; Department of Radiology, Seoul National University College of Medicine, Seoul, Korea.
  • Park CM; Department of Radiology, Seoul National University Hospital, Seoul, Korea.
PLoS One ; 16(6): e0252440, 2021.
Article in En | MEDLINE | ID: mdl-34097708
Subject(s)
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Radiographic Image Interpretation, Computer-Assisted / Deep Learning / COVID-19 / Lung Type of study: Diagnostic_studies / Evaluation_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limits: Aged / Female / Humans / Male / Middle aged Country/Region as subject: Asia Language: En Journal: PLoS One Journal subject: CIENCIA / MEDICINA Year: 2021 Document type: Article Country of publication: Estados Unidos
Fulltext
Add to My VHL
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PubMed Links
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Radiographic Image Interpretation, Computer-Assisted / Deep Learning / COVID-19 / Lung Type of study: Diagnostic_studies / Evaluation_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limits: Aged / Female / Humans / Male / Middle aged Country/Region as subject: Asia Language: En Journal: PLoS One Journal subject: CIENCIA / MEDICINA Year: 2021 Document type: Article Country of publication: Estados Unidos