Enhancing nasal endoscopy: Classification, detection, and segmentation of anatomic landmarks using a convolutional neural network.
Int Forum Allergy Rhinol
; 14(9): 1521-1524, 2024 Sep.
Article
en En
| MEDLINE
| ID: mdl-38853655
ABSTRACT
KEY POINTS A convolutional neural network (CNN)-based model can accurately localize and segment turbinates in images obtained during nasal endoscopy (NE). This model represents a starting point for algorithms that comprehensively interpret NE findings.
Palabras clave
Texto completo:
1
Colección:
01-internacional
Base de datos:
MEDLINE
Asunto principal:
Redes Neurales de la Computación
/
Endoscopía
Límite:
Humans
Idioma:
En
Revista:
Int Forum Allergy Rhinol
Año:
2024
Tipo del documento:
Article
País de afiliación:
Estados Unidos