How Far Will Clinical Application of AI Applications Advance for Colorectal Cancer Diagnosis?

Integrating artificial intelligence (AI) applications into colonoscopy practice is being accelerated as deep learning technologies emerge. In this field, most of the preceding research has focused on polyp detection and characterization, which can mitigate inherent human errors accompanying colonosc...

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Detalles Bibliográficos
Autores principales: Mori, Yuichi, Kudo, Shin-ei, Misawa, Masashi, Takeda, Kenichi, Kudo, Toyoki, Itoh, Hayato, Oda, Masahiro, Mori, Kensaku
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Japan Society of Coloproctology 2020
Materias:
Review Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7186008/
https://www.ncbi.nlm.nih.gov/pubmed/32346642
http://dx.doi.org/10.23922/jarc.2019-045

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7186008/
https://www.ncbi.nlm.nih.gov/pubmed/32346642
http://dx.doi.org/10.23922/jarc.2019-045

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