Digital processing of medical images: application in synthetic cardiac datasets using the CRISP_DM methodology
In this work an adaptation of the Cross Industry Standard Process for Data Mining (CRISP-DM) methodology, in the context of digital medical image processing is proposed. Specifically, synthetic images reported in the literature are used as numerical phantoms. Construction of the synthetic images was...
- Autores:
-
Contreras, Yudith
Vera, Miguel
Huérfano, Yoleidy
Valbuena, Oscar
Salazar, Williams
Vera, María Isabel
Borrero, Maryury
Barrera, Doris
Hernández, Carlos
Molina, Ángel Valentín
Martínez, Luis Javier
Sáenz, Frank
Vivas, Marisela
Salazar, Juan
Gelvez, Elkin
- Tipo de recurso:
- Fecha de publicación:
- 2018
- Institución:
- Universidad Simón Bolívar
- Repositorio:
- Repositorio Digital USB
- Idioma:
- eng
- OAI Identifier:
- oai:bonga.unisimon.edu.co:20.500.12442/2527
- Acceso en línea:
- http://hdl.handle.net/20.500.12442/2527
- Palabra clave:
- CRISP-DM Methodology
Synthetic cardiac images
Computerized tomography
Noise
Artifacts
- Rights
- License
- Licencia de Creative Commons Reconocimiento-NoComercial-CompartirIgual 4.0 Internacional