Comparative performance analysis of state-of-the-art classification algorithms applied to lung tissue categorization.
In this paper, we compare five common classifier families in their ability to categorize six lung tissue patterns in high-resolution computed tomography (HRCT) images of patients affected with interstitial lung diseases (ILD) and with healthy tissue. The evaluated classifiers are naive Bayes, k-near...
| Publicado en: | Journal of Digital Imaging Vol. 23; no. 1; pp. 18 - 31 |
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| Autores principales: | , , , , , , , |
| Formato: | diagnostic images equations & formulas pictorial research tables/charts Journal Article |
| Publicado: |
Springer Nature
Feb2010
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| Acceso en línea: | Ver este registro en EBSCOhost |