Small Lesions Evaluation Based on Unsupervised Cluster Analysis of Signal-Intensity Time Courses in Dynamic Breast MRI

An application of an unsupervised neural network-based computer-aided diagnosis (CAD) system is reported for the detection and characterization of small indeterminate breast lesions, average size 1.1 mm, in dynamic contrast-enhanced MRI. This system enables the extraction of spatial and temporal fea...

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Main Authors: A. Meyer-Baese, T. Schlossbauer, O. Lange, A. Wismueller
פורמט: Article
שפה:English
יצא לאור: Hindawi Limited 2009-01-01
סדרה:International Journal of Biomedical Imaging
גישה מקוונת:http://dx.doi.org/10.1155/2009/326924