A deep architecture for visually analyze Pap cells.
This work proposes a deep ANN architecture which accomplishes the reliable visual classification of abnormal Pap smear cell. The system is driven by independent agents where the first agent consists of a three layer ANN pretrained to closely track a reticle pattern. This net participates in a local...
Guardado en:
Autor Principal: | Chang Tortolero, Oscar Guillermo |
---|---|
Formato: | Artículos |
Lenguaje: | eng |
Publicado: |
2017
|
Materias: | |
Acceso en línea: | http://repositorio.educacionsuperior.gob.ec/handle/28000/3861 |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
-
A DEEP ARCHITECTURE FOR VISUALLY ANALYZE PAP CELLS
por: ACUÑA COELLO, FAUSTO VINICIO, et al.
Publicado: (2019) -
A DEEP ARCHITECTURE FOR VISUALLY ANALYZE PAP CELLS
por: ACUÑA COELLO, FAUSTO VINICIO, et al.
Publicado: (2019) -
Artificial Vision Techniques to Optimize Strawberry's Industrial Classification.
por: Chang Tortolero, Oscar Guillermo
Publicado: (2017) -
Multi-layer neural network with deep belief network for gearbox fault diagnosis
por: Li, Chuan
Publicado: (2016) -
Current controller for induction motor using an Artificial Neural Network trained with a Lyapunov based algorithm
por: Aller, Jos?
Publicado: (2016)