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...

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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