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ORCID: https://orcid.org/0000-0003-3712-8297, Poncela Pardo, Jose Manuel, Gonzalez Manchon, Pedro Maria
ORCID: https://orcid.org/0000-0002-8806-3561, Tobar Puente, M. del Carmen
ORCID: https://orcid.org/0000-0002-7370-6835, Sanguino Botella, Fco. Javier
ORCID: https://orcid.org/0000-0002-9203-101X, Asensio Madrid, Gabriel
ORCID: https://orcid.org/0000-0001-9108-0840 and Santos, Ernesto
(2008).
Liver Segmentation for Hepatic Lesions Detection and Characterisation.
En: "5th IEEE International Symposium on Biomedical Imaging - From Nano to Macro, 2008", 14/05/2008-17/05/2008, Paris, Francia. ISBN 978-1-4244-2002-5. pp. 13-16.
| Título: | Liver Segmentation for Hepatic Lesions Detection and Characterisation |
|---|---|
| Autor/es: |
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| Tipo de Documento: | Ponencia en Congreso o Jornada (Artículo) |
| Título del Evento: | 5th IEEE International Symposium on Biomedical Imaging - From Nano to Macro, 2008 |
| Fechas del Evento: | 14/05/2008-17/05/2008 |
| Lugar del Evento: | Paris, Francia |
| Título del Libro: | Proceedings of the 5th IEEE International Symposium on Biomedical Imaging - From Nano to Macro, 2008 |
| Fecha: | 2008 |
| ISBN: | 978-1-4244-2002-5 |
| Materias: | |
| ODS: | |
| Palabras Clave Informales: | Liver segmentation, anisotropic diffusion, active contours |
| Escuela: | E.U.I.T. Industrial (UPM) [antigua denominación] |
| Departamento: | Matemática Aplicada |
| Licencias Creative Commons: | Reconocimiento - Sin obra derivada - No comercial |
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The detection and characterisation of hepatic lesions is fundamental in clinical practice, from the diagnosis stages to the evolution of the therapeutic response. Hepatic magnetic resonance is a usual practice in the localization and quantification of lesions. Automatic segmentation of the liver is illustrated in T1 weighted images. This task is necessary for detecting the lesions. The proposed liver segmentation is based on 3D anisotropic diffusion processing without any control parameter. Combinations of edge detection techniques, histogram analysis, morphological post-processing and evolution of an active contour have been applied to the liver segmentation. The active contour evolution is based on the minimization of variances in luminance between the liver and its closest neighbourhood.
| ID de Registro: | 3326 |
|---|---|
| Identificador DC: | https://oa.upm.es/3326/ |
| Identificador OAI: | oai:oa.upm.es:3326 |
| URL Oficial: | http://www.biomedicalimaging.org/2008/ |
| Depositado por: | Memoria Investigacion |
| Depositado el: | 08 Mar 2011 09:06 |
| Ultima Modificación: | 20 Abr 2016 12:53 |
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