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rdf:type |
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lifeskim:mentions |
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pubmed:issue |
4
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pubmed:dateCreated |
2010-4-13
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pubmed:abstractText |
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 benefit to whole-lesion mean ADC alone in distinguishing benign and malignant neck pathologies.
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pubmed:grant |
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pubmed:language |
eng
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pubmed:journal |
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pubmed:citationSubset |
IM
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pubmed:status |
MEDLINE
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pubmed:month |
Apr
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pubmed:issn |
1936-959X
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pubmed:author |
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pubmed:issnType |
Electronic
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pubmed:volume |
31
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pubmed:owner |
NLM
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pubmed:authorsComplete |
Y
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pubmed:pagination |
736-40
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pubmed:meshHeading |
pubmed-meshheading:20007723-Adult,
pubmed-meshheading:20007723-Algorithms,
pubmed-meshheading:20007723-Diagnosis, Differential,
pubmed-meshheading:20007723-Diffusion Magnetic Resonance Imaging,
pubmed-meshheading:20007723-Female,
pubmed-meshheading:20007723-Humans,
pubmed-meshheading:20007723-Image Processing, Computer-Assisted,
pubmed-meshheading:20007723-Male,
pubmed-meshheading:20007723-Middle Aged,
pubmed-meshheading:20007723-Otorhinolaryngologic Diseases,
pubmed-meshheading:20007723-Otorhinolaryngologic Neoplasms,
pubmed-meshheading:20007723-ROC Curve,
pubmed-meshheading:20007723-Sensitivity and Specificity,
pubmed-meshheading:20007723-Software,
pubmed-meshheading:20007723-Young Adult
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pubmed:year |
2010
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pubmed:articleTitle |
Utility of the k-means clustering algorithm in differentiating apparent diffusion coefficient values of benign and malignant neck pathologies.
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pubmed:affiliation |
Department of Radiology, University of Michigan Health System, Ann Arbor, 48109, USA. ashoks@med.umich.edu
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pubmed:publicationType |
Journal Article,
Research Support, N.I.H., Extramural
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