Application of Artificial Intelligence in Capsule Endoscopy: Where Are We Now?
Clinical Endoscopy
; : 547-551, 2018.
Article
en En
| WPRIM
| ID: wpr-717974
Biblioteca responsable:
WPRO
ABSTRACT
Unlike wired endoscopy, capsule endoscopy requires additional time for a clinical specialist to review the operation and examine the lesions. To reduce the tedious review time and increase the accuracy of medical examinations, various approaches have been reported based on artificial intelligence for computer-aided diagnosis. Recently, deep learning–based approaches have been applied to many possible areas, showing greatly improved performance, especially for image-based recognition and classification. By reviewing recent deep learning–based approaches for clinical applications, we present the current status and future direction of artificial intelligence for capsule endoscopy.
Palabras clave
Texto completo:
1
Índice:
WPRIM
Asunto principal:
Especialización
/
Inteligencia Artificial
/
Clasificación
/
Diagnóstico
/
Endoscopía
/
Endoscopía Capsular
Tipo de estudio:
Diagnostic_studies
Idioma:
En
Revista:
Clinical Endoscopy
Año:
2018
Tipo del documento:
Article