Detecting early gastric cancer: Comparison between the diagnostic ability of convolutional neural networks and endoscopists

OBJECTIVES: Detecting early gastric cancer is difficult, and it may even be overlooked by experienced endoscopists. Recently, artificial intelligence based on deep learning through convolutional neural networks (CNNs) has enabled significant advancements in the field of gastroenterology. However, it...

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Detalles Bibliográficos
Autores principales: Ikenoyama, Yohei, Hirasawa, Toshiaki, Ishioka, Mitsuaki, Namikawa, Ken, Yoshimizu, Shoichi, Horiuchi, Yusuke, Ishiyama, Akiyoshi, Yoshio, Toshiyuki, Tsuchida, Tomohiro, Takeuchi, Yoshinori, Shichijo, Satoki, Katayama, Naoyuki, Fujisaki, Junko, Tada, Tomohiro
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2020
Materias:
Original Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7818187/
https://www.ncbi.nlm.nih.gov/pubmed/32282110
http://dx.doi.org/10.1111/den.13688

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7818187/
https://www.ncbi.nlm.nih.gov/pubmed/32282110
http://dx.doi.org/10.1111/den.13688

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