Cargando…
The Feasibility of Applying Artificial Intelligence to Gastrointestinal Endoscopy to Improve the Detection Rate of Early Gastric Cancer Screening
Convolutional neural networks in the field of artificial intelligence show great potential in image recognition. It assisted endoscopy to improve the detection rate of early gastric cancer. The 5-year survival rate for advanced gastric cancer is less than 30%, while the 5-year survival rate for earl...
Autores principales: | Fu, Xin-yu, Mao, Xin-li, Chen, Ya-hong, You, Ning-ning, Song, Ya-qi, Zhang, Li-hui, Cai, Yue, Ye, Xing-nan, Ye, Li-ping, Li, Shao-wei |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9150174/ https://www.ncbi.nlm.nih.gov/pubmed/35652070 http://dx.doi.org/10.3389/fmed.2022.886853 |
Ejemplares similares
-
Use of Artificial Intelligence to Improve the Quality Control of Gastrointestinal Endoscopy
por: Song, Ya-qi, et al.
Publicado: (2021) -
Artificial Intelligence in Gastrointestinal Endoscopy
por: Abadir, Alexander P., et al.
Publicado: (2020) -
Artificial intelligence in gastrointestinal endoscopy
por: Pannala, Rahul, et al.
Publicado: (2020) -
A technical review of artificial intelligence as applied to gastrointestinal endoscopy: clarifying the terminology
por: Ebigbo, Alanna, et al.
Publicado: (2019) -
Artificial intelligence in gastrointestinal endoscopy: general overview
por: El Hajjar, Ahmad, et al.
Publicado: (2020)