Development of a real-time endoscopic image diagnosis support system using deep learning technology in colonoscopy

Gaps in colonoscopy skills among endoscopists, primarily due to experience, have been identified, and solutions are critically needed. Hence, the development of a real-time robust detection system for colorectal neoplasms is considered to significantly reduce the risk of missed lesions during colono...

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Detalles Bibliográficos
Autores principales: Yamada, Masayoshi, Saito, Yutaka, Imaoka, Hitoshi, Saiko, Masahiro, Yamada, Shigemi, Kondo, Hiroko, Takamaru, Hiroyuki, Sakamoto, Taku, Sese, Jun, Kuchiba, Aya, Shibata, Taro, Hamamoto, Ryuji
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6783454/
https://www.ncbi.nlm.nih.gov/pubmed/31594962
http://dx.doi.org/10.1038/s41598-019-50567-5

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6783454/
https://www.ncbi.nlm.nih.gov/pubmed/31594962
http://dx.doi.org/10.1038/s41598-019-50567-5

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