Endoscopic prediction of deeply submucosal invasive carcinoma with use of artificial intelligence

Background and study aims  We evaluated use of artificial intelligence (AI) assisted image classifier in determining the feasibility of curative endoscopic resection of large colonic lesion based on non-magnified endoscopic images Methods  AI image classifier was trained by 8,000 endoscopic images o...

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Detalles Bibliográficos
Autores principales: Lui, Thomas K.L., Wong, Kenneth K.Y., Mak, Loey L.Y., Ko, Michael K.L., Tsao, Stephen K.K., Leung, Wai K.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: © Georg Thieme Verlag KG 2019
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6447402/
https://www.ncbi.nlm.nih.gov/pubmed/31041367
http://dx.doi.org/10.1055/a-0849-9548

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6447402/
https://www.ncbi.nlm.nih.gov/pubmed/31041367
http://dx.doi.org/10.1055/a-0849-9548

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