Cooperation between artificial intelligence and endoscopists for diagnosing invasion depth of early gastric cancer

BACKGROUND AND STUDY AIMS: The diagnostic ability of endoscopists to determine invasion depth of early gastric cancer is not favorable. We designed an artificial intelligence (AI) classifier for differentiating intramucosal and submucosal gastric cancers and examined it to establish a diagnostic met...

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Detalles Bibliográficos
Autores principales: Goto, Atsushi, Kubota, Naoto, Nishikawa, Jun, Ogawa, Ryo, Hamabe, Koichi, Hashimoto, Shinichi, Ogihara, Hiroyuki, Hamamoto, Yoshihiko, Yanai, Hideo, Miura, Osamu, Takami, Taro
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Nature Singapore 2022
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9813068/
https://www.ncbi.nlm.nih.gov/pubmed/36040575
http://dx.doi.org/10.1007/s10120-022-01330-9

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9813068/
https://www.ncbi.nlm.nih.gov/pubmed/36040575
http://dx.doi.org/10.1007/s10120-022-01330-9

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