Your browser doesn't support javascript.
loading
Bone Age Assessment Using Artificial Intelligence in Korean Pediatric Population: A Comparison of Deep-Learning Models Trained With Healthy Chronological and Greulich-Pyle Ages as Labels.
Kim, Pyeong Hwa; Yoon, Hee Mang; Kim, Jeong Rye; Hwang, Jae-Yeon; Choi, Jin-Ho; Hwang, Jisun; Lee, Jaewon; Sung, Jinkyeong; Jung, Kyu-Hwan; Bae, Byeonguk; Jung, Ah Young; Cho, Young Ah; Shim, Woo Hyun; Bak, Boram; Lee, Jin Seong.
Afiliação
  • Kim PH; Department of Radiology and Research Institute of Radiology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea.
  • Yoon HM; Department of Radiology and Research Institute of Radiology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea. espoirhm@gmail.com.
  • Kim JR; Department of Radiology, Dankook University Hospital, Dankook University College of Medicine, Cheonan, Republic of Korea.
  • Hwang JY; Department of Radiology, Research Institute for Convergence of Biomedical Science and Technology, Pusan National University Yangsan Hospital, Pusan National University School of Medicine, Yangsan, Republic of Korea.
  • Choi JH; Department of Pediatrics, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea.
  • Hwang J; Department of Radiology, Ajou University Hospital, Ajou University School of Medicine, Suwon, Republic of Korea.
  • Lee J; VUNO Inc., Seoul, Republic of Korea.
  • Sung J; VUNO Inc., Seoul, Republic of Korea.
  • Jung KH; VUNO Inc., Seoul, Republic of Korea.
  • Bae B; VUNO Inc., Seoul, Republic of Korea.
  • Jung AY; Department of Radiology and Research Institute of Radiology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea.
  • Cho YA; Department of Radiology and Research Institute of Radiology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea.
  • Shim WH; Department of Radiology and Research Institute of Radiology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea.
  • Bak B; Department of Medical Science, Asan Medical Institute of Convergence Science and Technology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea.
  • Lee JS; University of Ulsan Foundation for Industry Cooperation, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea.
Korean J Radiol ; 24(11): 1151-1163, 2023 11.
Article em En | MEDLINE | ID: mdl-37899524
Assuntos
Palavras-chave
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Inteligência Artificial / Aprendizado Profundo Limite: Adolescent / Child / Female / Humans / Infant / Male País/Região como assunto: Asia Idioma: En Revista: Korean J Radiol Ano de publicação: 2023 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: Inteligência Artificial / Aprendizado Profundo Limite: Adolescent / Child / Female / Humans / Infant / Male País/Região como assunto: Asia Idioma: En Revista: Korean J Radiol Ano de publicação: 2023 Tipo de documento: Article