Medical image segmentation based on immune clonal optimization

Based on the clonal selection theory of artificial immune system, a novel optimal entropy threshold medical image segmentation method is proposed, in which, the affinity function is the optimal entropy threshold, and the medical image segmentation is considered as a optimization problem, clonal oper...

Ausführliche Beschreibung

Bibliographische Detailangaben

Hauptverfasser:	Wenping Ma, Licheng Jiao, Ronghua Shang, Fujia Zhao
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	artificial immune system Artificial immune systems Biomedical imaging clonal selection theory Computational complexity Entropy Image analysis Image segmentation Immune system Magnetic resonance imaging medical image segmentation optimal entropy threshold Optimization methods Performance analysis
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