The application of competitive Hopfield neural network to medical image segmentation

In this paper, a parallel and unsupervised approach using the competitive Hopfield neural network (CHNN) is proposed for medical image segmentation. It is a kind of Hopfield network which incorporates the winner-takes-all (WTA) learning mechanism. The image segmentation is conceptually formulated as...

Ausführliche Beschreibung

Bibliographische Detailangaben

Veröffentlicht in:	IEEE transactions on medical imaging 1996-08, Vol.15 (4), p.560-567
Hauptverfasser:	CHENG, K.-S, LIN, J.-S, MAO, C.-W
Format:	Artikel
Sprache:	eng
Schlagworte:	Anatomical structure Biological and medical sciences Biomedical imaging Brain Computerized, statistical medical data processing and models in biomedicine Hopfield neural networks Image segmentation Learning systems Medical computing and teaching Medical diagnostic imaging Medical sciences Medical simulation Multi-layer neural network Pixel
Online-Zugang:	Volltext bestellen
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!