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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...
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 |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2019
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Materias: | |
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 |
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