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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Detalhes bibliográficos
Publicado no:AJNR Am J Neuroradiol
Main Authors: Srinivasan, A., Galbán, C.J., Johnson, T.D., Chenevert, T.L., Ross, B.D., Mukherji, S.K.
Formato: Artigo
Idioma:Inglês
Publicado em: American Society of Neuroradiology 2010
Assuntos:
Head and Neck
Acesso em linha: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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