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- W1570669829 abstract "Abstract : Dynamic Gd-DTPA-2 contrast enhanced MRI images are currently used to help identify the malignancy of breast lesions. The time course of contrast agent uptake may thus be a non- invasive method for discriminating benign vs. malignant breast lesions. In this study, a computational technique called fuzzy clustering is employed to empirically categorize voxels of breast MRI images based on the time course of contrast agent enhanced image intensity. Several parameters of the clustering algorithm have been optimized including the fuzzy index and cluster membership thresholds. The clustering algorithm has been able to discriminate contrast uptake heterogeneity within breast lesions, and central vs. peripheral regions. These two features have not, on their own, discriminated malignant vs. benign lesions." @default.
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- W1570669829 date "1999-09-01" @default.
- W1570669829 modified "2023-09-24" @default.
- W1570669829 title "A Computational Approach Toward Identification of Malignant Lesions of the Human Breast: The Dynamics of Magnetic Resonance Imaging Contrast Agent Uptake" @default.
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- W1570669829 doi "https://doi.org/10.21236/ada391397" @default.
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