Empirical evaluation of segmentation algorithms for lung modelling

Lung modelling has emerged as a useful method for diagnosing lung diseases. Image segmentation is an important part of lung modelling systems. The ill-defined nature of image segmentation makes automated lung modelling difficult. Also, low resolution of lung images further increases the difficulty o...

Ausführliche Beschreibung

Bibliographische Detailangaben

Hauptverfasser:	Lee, S.L.A., Kouzani, A.Z., Hu, E.J.
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Biomedical imaging Computed tomography CT lung images Diseases Image analysis Image resolution Image segmentation Lungs Magnetic resonance imaging Markov random fields Spatial resolution
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