Classification of gastric emptying and orocaecal transit through artificial neural networks
Classical quantification of gastric emptying (GE) and orocaecal transit (OCT) based on half-life time T50, mean gastric emptying time (MGET), orocaecal transit time (OCTT) or mean caecum arrival time (MCAT) can lead to misconceptions when analyzing irregularly or noisy data. We show that this is the...
Guardado en:
Autores principales: | Anibal Thiago Bezerra, Leonardo Antonio Pinto, Diego Samuel Rodrigues, Gabriela Nogueira Bittencourt, Paulo Fernando de Arruda Mancera, José Ricardo de Arruda Miranda |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
AIMS Press
2021
|
Materias: | |
Acceso en línea: | https://doaj.org/article/9d6b1d25281b4d0c9564aee302b36694 |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
-
A surprising finding during solid‐phase gastric emptying scintigraphy
por: Anne‐Sophie Hambye, et al.
Publicado: (2021) -
ANALYSIS OF FACTORS ASSOCIATED WITH DELAYED GASTRIC EMPTYING AFTER WHIPPLE’S PROCEDURE
por: Talha Yasin, et al.
Publicado: (2021) -
Artificial Intelligence in Gastric Cancer: Identifying Gastric Cancer Using Endoscopic Images with Convolutional Neural Network
por: Md. Mohaimenul Islam, et al.
Publicado: (2021) -
Clinical correlations and prognostic value of Nudix hydroxylase 10 in patients with gastric cancer
por: Diqun Chen, et al.
Publicado: (2021) -
“Empty Book” as Kind of Extremely Small Texts
por: I. S. Samokhin, et al.
Publicado: (2018)