Cargando…
Artificial Intelligence-Based Colorectal Polyp Histology Prediction: High Accuracy in Larger Polyps
Autores principales: | Muguruma, Naoki, Takayama, Tetsuji |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Korean Society of Gastrointestinal Endoscopy
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8831397/ https://www.ncbi.nlm.nih.gov/pubmed/34974677 http://dx.doi.org/10.5946/ce.2021.266 |
Ejemplares similares
-
Narrow Band Imaging as an Efficient and Economical Tool in Diagnosing Colorectal Polyps
por: Muguruma, Naoki, et al.
Publicado: (2015) -
Evaluation of an Artificial Intelligence–Augmented Digital System for Histologic Classification of Colorectal Polyps
por: Nasir-Moin, Mustafa, et al.
Publicado: (2021) -
Artificial Intelligence-Based Colorectal Polyp Histology Prediction by Using Narrow-Band Image-Magnifying Colonoscopy
por: Racz, Istvan, et al.
Publicado: (2022) -
Real-Time Artificial Intelligence-Based Histologic Classifications of Colorectal Polyps Using Narrow-Band Imaging
por: Lu, Yi, et al.
Publicado: (2022) -
Challenges in artificial intelligence for polyp detection
por: Mori, Yuichi, et al.
Publicado: (2022)