Your browser doesn't support javascript.
loading
Asymmetry between right and left fundus images identified using convolutional neural networks.
Kang, Tae Seen; Kim, Bum Jun; Nam, Ki Yup; Lee, Seongjin; Kim, Kyonghoon; Lee, Woong-Sub; Kim, Jinhyun; Han, Yong Seop.
Afiliação
  • Kang TS; Department of Ophthalmology, Gyeongsang National University Changwon Hospital, #11 Samjeongja-ro, Seongsan-gu, Changwon, 51472, Republic of Korea.
  • Kim BJ; Department of Ophthalmology, Gyeongsang National University Changwon Hospital, #11 Samjeongja-ro, Seongsan-gu, Changwon, 51472, Republic of Korea.
  • Nam KY; Department of Ophthalmology, Chungnam National University Sejong Hospital, Sejong, Republic of Korea.
  • Lee S; Department of AI Convergence Engineering, Gyeongsang National University, Jinju, Republic of Korea.
  • Kim K; School of Computer Science & Engineering, Kyungpook National University, Daegu, Republic of Korea.
  • Lee WS; Department of Information and Communication Engineering, Gyeongsang National University, Tongyeong, Republic of Korea.
  • Kim J; Department of Information and Communication Engineering, Gyeongsang National University, Tongyeong, Republic of Korea.
  • Han YS; Department of Ophthalmology, Gyeongsang National University Changwon Hospital, #11 Samjeongja-ro, Seongsan-gu, Changwon, 51472, Republic of Korea. medcabin@naver.com.
Sci Rep ; 12(1): 1444, 2022 01 27.
Article em En | MEDLINE | ID: mdl-35087071
Assuntos
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Processamento de Imagem Assistida por Computador / Aprendizado Profundo / Fundo de Olho Tipo de estudo: Observational_studies Limite: Humans País/Região como assunto: Asia Idioma: En Revista: Sci Rep Ano de publicação: 2022 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Processamento de Imagem Assistida por Computador / Aprendizado Profundo / Fundo de Olho Tipo de estudo: Observational_studies Limite: Humans País/Região como assunto: Asia Idioma: En Revista: Sci Rep Ano de publicação: 2022 Tipo de documento: Article