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Automatic segmentation of dynamic neuroreceptor single-photon emission tomography images using fuzzy clustering

✍ Scribed by Paul D. Acton; Lyn S. Pilowsky; Hank F. Kung; Peter J. Ell


Book ID
105964992
Publisher
Springer
Year
1999
Tongue
English
Weight
627 KB
Volume
26
Category
Article
ISSN
0340-6997

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## Abstract ## Purpose To assess whether glioma volumes from knowledge‐based fuzzy c‐means (FCM) clustering of multiple MR image classes can provide similar diagnostic efficacy values as manually defined tumor volumes when characterizing gliomas from dynamic susceptibility contrast (DSC) imaging.