A space-occupying lesion automatic quantification from abdominal contrast-enhanced computerized tomography images
Space-occupying lessions represent a healt higt risk of subjects affected by this kind of pathology. From a medical point of view, the volume occupied by each of these lesions constitutes the most important descriptor when addressing them, and especially for the respective decision-making process th...
- Autores:
-
Bravo, Antonio José
Vera, Miguel Ángel
Huérfano, Yoleidy Katherine
- Tipo de recurso:
- Fecha de publicación:
- 2020
- Institución:
- Universidad Simón Bolívar
- Repositorio:
- Repositorio Digital USB
- Idioma:
- eng
- OAI Identifier:
- oai:bonga.unisimon.edu.co:20.500.12442/6954
- Acceso en línea:
- https://hdl.handle.net/20.500.12442/6954
http://www.revistaavft.com/images/revistas/2020/avft_4_2020/20_a_space.pdf
- Palabra clave:
- Computerized tomography
Space-occupying lesion
imaging filters
clustering techniques
Dice coefficient
Tomografía computarizada
Filtrado de imágenes
Técnicas de agrupamiento
Coeficiente de Dice
- Rights
- openAccess
- License
- Attribution-NonCommercial-NoDerivatives 4.0 Internacional