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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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| Pubblicato in: | AJNR Am J Neuroradiol |
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| Autori principali: | , , , , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
American Society of Neuroradiology
2010
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| Soggetti: | |
| Accesso online: | 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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