A Weighted K-means Algorithm applied to Brain Tissue Classification
Tissue classification in Magnetic Resonance (MR) brain images is an important issue in the analysis of several brain dementias. This paper presents a modification of the classical K-means algorithm taking into account the number of times specific features appear in an image, employing, for that purp...
Guardado en:
| Autores principales: | Abras, Guillermo N., Ballarín, Virginia Laura |
|---|---|
| Formato: | Articulo |
| Lenguaje: | Inglés |
| Publicado: |
2005
|
| Materias: | |
| Acceso en línea: | http://sedici.unlp.edu.ar/handle/10915/9583 http://journal.info.unlp.edu.ar/wp-content/uploads/JCST-Oct05-2.pdf |
| Aporte de: |
Ejemplares similares
-
Boundary extraction through gradient-based evolutionary algorithm
por: Katz, Román, et al.
Publicado: (2003) -
Parallelization of image similarity analysis
por: Naiouf, Marcelo, et al.
Publicado: (2001) -
Using adaptive run length smoothing algorithm for accurate text localization in images
por: Rais, M., et al.
Publicado: (2011) -
Using adaptive run length smoothing algorithm for accurate text localization in images
por: Rais, M., et al. -
Using adaptive run length smoothing algorithm for accurate text localization in images
por: Rais, M., et al.
Publicado: (2011)