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Visual classification of pressure injury stages for nurses: A deep learning model applying modern convolutional neural networks.
Seo, Suryang; Kang, Jaeyeon; Eom, In Hyang; Song, Hyeji; Park, Jun Ho; Lee, Youngsoo; Lee, Haeyoung.
Afiliación
  • Seo S; Department of Nursing, SMG-SNU Boramae Medical Center, Seoul National University College of Medicine, Seoul, Republic of Korea.
  • Kang J; Department of Nursing, SMG-SNU Boramae Medical Center, Seoul National University College of Medicine, Seoul, Republic of Korea.
  • Eom IH; Department of Nursing, SMG-SNU Boramae Medical Center, Seoul National University College of Medicine, Seoul, Republic of Korea.
  • Song H; Department of Nursing, SMG-SNU Boramae Medical Center, Seoul National University College of Medicine, Seoul, Republic of Korea.
  • Park JH; Department of Plastic and Reconstructive Surgery, SMG-SNU Boramae Medical Center, Seoul National University College of Medicine, Seoul, Republic of Korea.
  • Lee Y; MindsnCompany, Seoul, Republic of Korea.
  • Lee H; Red Cross College of Nursing, Chung-Ang University, Seoul, Republic of Korea.
J Adv Nurs ; 79(8): 3047-3056, 2023 Aug.
Article en En | MEDLINE | ID: mdl-36752192
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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Úlcera por Presión / Aprendizaje Profundo / Enfermeras y Enfermeros Tipo de estudio: Observational_studies / Prognostic_studies Límite: Humans Idioma: En Revista: J Adv Nurs Año: 2023 Tipo del documento: Article
Texto completo
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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Úlcera por Presión / Aprendizaje Profundo / Enfermeras y Enfermeros Tipo de estudio: Observational_studies / Prognostic_studies Límite: Humans Idioma: En Revista: J Adv Nurs Año: 2023 Tipo del documento: Article