Identificador persistente para citar o vincular este elemento:
http://hdl.handle.net/10553/76052
Título: | Evaluation framework for carotid bifurcation lumen segmentation and stenosis grading | Autores/as: | Hameeteman, K. Zuluaga, M. A. Freiman, M. Joskowicz, L. Cuisenaire, O. Florez Valencia, L. Guelsuen, M. A. Krissian, Karl Mille, J. Wong, W. C. K. Orkisz, M. Tek, H. Hernandez Hoyos, M. Benmansour, F. Chung, A. C. S. Rozie, S. van Gils, M. van den Borne, L. Sosna, J. Berman, P. Cohen, N. Douek, P. C. Sanchez, I. Aissat, M. Schaap, M. Metz, C. T. Krestin, G. P. van der Lugt, A. Niessen, W. J. van Walsum, T. |
Clasificación UNESCO: | 3314 Tecnología médica | Palabras clave: | Evaluation Framework Carotid CTA Lumen Segmentation Stenosis Grading |
Fecha de publicación: | 2011 | Publicación seriada: | Medical Image Analysis | Resumen: | This paper describes an evaluation framework that allows a standardized and objective quantitative comparison of carotid artery lumen segmentation and stenosis grading algorithms. We describe the data repository comprising 56 multi-center, multi-vendor CTA datasets, their acquisition, the creation of the reference standard and the evaluation measures. This framework has been introduced at the MICCAI 2009 workshop 3D Segmentation in the Clinic: A Grand Challenge 111, and we compare the results of eight teams that participated. These results show that automated segmentation of the vessel lumen is possible with a precision that is comparable to manual annotation. The framework is open for new submissions through the website http://cls2009.bigr.nl. | URI: | http://hdl.handle.net/10553/76052 | ISSN: | 1361-8415 | DOI: | 10.1016/j.media.2011.02.004 | Fuente: | Medical Image Analysis[ISSN 1361-8415], v. 15 (4), p. 477-488, (Agosto 2011) |
Colección: | Artículos |
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