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An interpretable and interactive deep learning algorithm for a clinically applicable retinal fundus diagnosis system by modelling finding-disease relationship.
Son, Jaemin; Shin, Joo Young; Kong, Seo Taek; Park, Jeonghyuk; Kwon, Gitaek; Kim, Hoon Dong; Park, Kyu Hyung; Jung, Kyu-Hwan; Park, Sang Jun.
Afiliación
  • Son J; VUNO Inc., Seoul, Republic of Korea.
  • Shin JY; Department of Ophthalmology, Seoul Metropolitan Government Seoul National University Boramae Medical Center, Seoul, Republic of Korea.
  • Kong ST; VUNO Inc., Seoul, Republic of Korea.
  • Park J; VUNO Inc., Seoul, Republic of Korea.
  • Kwon G; VUNO Inc., Seoul, Republic of Korea.
  • Kim HD; Department of Ophthalmology, College of Medicine, Soonchunhyang University, Cheonan, Republic of Korea.
  • Park KH; Department of Ophthalmology, Seoul National University College of Medicine, Seoul National University Bundang Hospital, 82, Gumi-ro 173 Beon-gil, Bundang-gu, Seongnam-si, Gyeonggi-do, 13620, Republic of Korea.
  • Jung KH; Department of Medical Device Research and Management, Samsung Advanced Institute for Health Sciences and Technology, Sungkyunkwan University, 81 Irwon-ro, Gangnam-gu, Seoul, Republic of Korea. khwanjung@skku.edu.
  • Park SJ; Department of Ophthalmology, Seoul National University College of Medicine, Seoul National University Bundang Hospital, 82, Gumi-ro 173 Beon-gil, Bundang-gu, Seongnam-si, Gyeonggi-do, 13620, Republic of Korea. sangjunpark@snu.ac.kr.
Sci Rep ; 13(1): 5934, 2023 04 12.
Article en En | MEDLINE | ID: mdl-37045856
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Oftalmopatías / Aprendizaje Profundo Tipo de estudio: Diagnostic_studies / Prognostic_studies / Qualitative_research Límite: Humans Idioma: En Revista: Sci Rep Año: 2023 Tipo del documento: Article Pais de publicación: Reino Unido
Texto completo
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XML
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Oftalmopatías / Aprendizaje Profundo Tipo de estudio: Diagnostic_studies / Prognostic_studies / Qualitative_research Límite: Humans Idioma: En Revista: Sci Rep Año: 2023 Tipo del documento: Article Pais de publicación: Reino Unido