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Utility of the K-Means Clustering Algorithm in Differentiating Apparent Diffusion Coefficient Values of Benign and Malignant Neck Pathologies

BACKGROUND AND PURPOSE: Does the K-means algorithm do a better job of differentiating benign and malignant neck pathologies compared to only mean ADC? The objective of our study was to analyze the differences between ADC partitions to evaluate whether the K-means technique can be of additional benef...

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Bibliografiske detaljer
Udgivet i:AJNR Am J Neuroradiol
Main Authors: Srinivasan, A., Galbán, C.J., Johnson, T.D., Chenevert, T.L., Ross, B.D., Mukherji, S.K.
Format: Artigo
Sprog:Inglês
Udgivet: American Society of Neuroradiology 2010
Fag:
Online adgang:https://ncbi.nlm.nih.gov/pmc/articles/PMC4283555/
https://ncbi.nlm.nih.gov/pubmed/20007723
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3174/ajnr.A1901
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