Cargando…
Automatic anatomical classification of esophagogastroduodenoscopy images using deep convolutional neural networks
The use of convolutional neural networks (CNNs) has dramatically advanced our ability to recognize images with machine learning methods. We aimed to construct a CNN that could recognize the anatomical location of esophagogastroduodenoscopy (EGD) images in an appropriate manner. A CNN-based diagnosti...
Autores principales: | Takiyama, Hirotoshi, Ozawa, Tsuyoshi, Ishihara, Soichiro, Fujishiro, Mitsuhiro, Shichijo, Satoki, Nomura, Shuhei, Miura, Motoi, Tada, Tomohiro |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2018
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5951793/ https://www.ncbi.nlm.nih.gov/pubmed/29760397 http://dx.doi.org/10.1038/s41598-018-25842-6 |
Ejemplares similares
-
Automatic anatomical classification of colonoscopic images using deep convolutional neural networks
por: Saito, Hiroaki, et al.
Publicado: (2020) -
Automated endoscopic detection and classification of colorectal
polyps using convolutional neural networks
por: Ozawa, Tsuyoshi, et al.
Publicado: (2020) -
Application of Convolutional Neural Networks in the Diagnosis of Helicobacter pylori Infection Based on Endoscopic Images
por: Shichijo, Satoki, et al.
Publicado: (2017) -
Current Status of Artificial Intelligence-Based Computer-Assisted Diagnosis Systems for Gastric Cancer in Endoscopy
por: Ochiai, Kentaro, et al.
Publicado: (2022) -
Application of Convolutional Neural Networks for Detection of Superficial Nonampullary Duodenal Epithelial Tumors in Esophagogastroduodenoscopic Images
por: Inoue, Shuntaro, et al.
Publicado: (2020)