Development and multi‐institutional validation of an artificial intelligence‐based diagnostic system for gastric biopsy

To overcome the increasing burden on pathologists in diagnosing gastric biopsies, we developed an artificial intelligence‐based system for the pathological diagnosis of gastric biopsies (AI‐G), which is expected to work well in daily clinical practice in multiple institutes. The multistage semantic...

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Detalles Bibliográficos
Autores principales: Abe, Hiroyuki, Kurose, Yusuke, Takahama, Shusuke, Kume, Ayako, Nishida, Shu, Fukasawa, Miyako, Yasunaga, Yoichi, Ushiku, Tetsuo, Ninomiya, Youichiro, Yoshizawa, Akihiko, Murao, Kohei, Sato, Shin’ichi, Kitsuregawa, Masaru, Harada, Tatsuya, Kitagawa, Masanobu, Fukayama, Masashi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2022
Materias:
Original Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9530856/
https://www.ncbi.nlm.nih.gov/pubmed/36068652
http://dx.doi.org/10.1111/cas.15514

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9530856/
https://www.ncbi.nlm.nih.gov/pubmed/36068652
http://dx.doi.org/10.1111/cas.15514

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