Robust automated prediction of the revised Vienna Classification in colonoscopy using deep learning: development and initial external validation

BACKGROUND: Improved optical diagnostic technology is needed that can be used by also outside expert centers. Hence, we developed an artificial intelligence (AI) system that automatically and robustly predicts the pathological diagnosis based on the revised Vienna Classification using standard colon...

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Detalles Bibliográficos
Autores principales: Yamada, Masayoshi, Shino, Ryosaku, Kondo, Hiroko, Yamada, Shigemi, Takamaru, Hiroyuki, Sakamoto, Taku, Bhandari, Pradeep, Imaoka, Hitoshi, Kuchiba, Aya, Shibata, Taro, Saito, Yutaka, Hamamoto, Ryuji
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Nature Singapore 2022
Materias:
Original Article—Alimentary Tract
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9596523/
https://www.ncbi.nlm.nih.gov/pubmed/35972582
http://dx.doi.org/10.1007/s00535-022-01908-1

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9596523/
https://www.ncbi.nlm.nih.gov/pubmed/35972582
http://dx.doi.org/10.1007/s00535-022-01908-1

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