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External Validation of Deep Learning Algorithm for Detecting and Visualizing Femoral Neck Fracture Including Displaced and Non-displaced Fracture on Plain X-ray.
Bae, Junwon; Yu, Sangjoon; Oh, Jaehoon; Kim, Tae Hyun; Chung, Jae Ho; Byun, Hayoung; Yoon, Myeong Seong; Ahn, Chiwon; Lee, Dong Keon.
Afiliación
  • Bae J; Department of Emergency Medicine, College of Medicine, Hanyang University, 222 Wangsimni-ro, Seongdong-gu, Seoul, 04763, Republic of Korea.
  • Yu S; Department of Computer Science, Hanyang University, 222 Wangsimni-ro, Seongdong-gu, Seoul, 04763, Republic of Korea.
  • Oh J; Department of Emergency Medicine, College of Medicine, Hanyang University, 222 Wangsimni-ro, Seongdong-gu, Seoul, 04763, Republic of Korea. ojjai@hanmail.net.
  • Kim TH; Machine Learning Research Center for Medical Data, Hanyang University, Seoul, Republic of Korea. ojjai@hanmail.net.
  • Chung JH; Department of Computer Science, Hanyang University, 222 Wangsimni-ro, Seongdong-gu, Seoul, 04763, Republic of Korea. taehyunkim@hanyang.ac.kr.
  • Byun H; Machine Learning Research Center for Medical Data, Hanyang University, Seoul, Republic of Korea. taehyunkim@hanyang.ac.kr.
  • Yoon MS; Machine Learning Research Center for Medical Data, Hanyang University, Seoul, Republic of Korea.
  • Ahn C; Department of Otolaryngology - Head and Neck Surgery, College of Medicine, Hanyang University, Seoul, Republic of Korea.
  • Lee DK; Department of HY, College of Medicine, KIST Bio-Convergence, Hanyang University, Seoul, Republic of Korea.
J Digit Imaging ; 34(5): 1099-1109, 2021 10.
Article en En | MEDLINE | ID: mdl-34379216
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Fracturas del Cuello Femoral / Aprendizaje Profundo Tipo de estudio: Observational_studies / Prognostic_studies Límite: Humans Idioma: En Revista: J Digit Imaging Asunto de la revista: DIAGNOSTICO POR IMAGEM / INFORMATICA MEDICA / RADIOLOGIA Año: 2021 Tipo del documento: Article
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Fracturas del Cuello Femoral / Aprendizaje Profundo Tipo de estudio: Observational_studies / Prognostic_studies Límite: Humans Idioma: En Revista: J Digit Imaging Asunto de la revista: DIAGNOSTICO POR IMAGEM / INFORMATICA MEDICA / RADIOLOGIA Año: 2021 Tipo del documento: Article