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Prediction of COVID-19 patients in danger of death using radiomic features of portable chest radiographs.
Nakashima, Maoko; Uchiyama, Yoshikazu; Minami, Hirotake; Kasai, Satoshi.
Affiliation
  • Nakashima M; Graduate School of Health Sciences, Kumamoto University, Kumamoto, Japan.
  • Uchiyama Y; Department of Medical Image Sciences, Faculty of Life Sciences, Kumamoto University, Kumamoto, Japan.
  • Minami H; Konica Minolta, Inc., Tokyo, Japan.
  • Kasai S; Department of Radiological Technology, Niigata University of Health and Welfare, Niigata, Japan.
J Med Radiat Sci ; 70(1): 13-20, 2023 Mar.
Article in En | MEDLINE | ID: mdl-36334033
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Full text: 1 Database: MEDLINE Main subject: COVID-19 Type of study: Observational_studies / Prognostic_studies / Risk_factors_studies Limits: Humans Language: En Year: 2023 Type: Article
Fulltext
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PubMed Links
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Full text: 1 Database: MEDLINE Main subject: COVID-19 Type of study: Observational_studies / Prognostic_studies / Risk_factors_studies Limits: Humans Language: En Year: 2023 Type: Article