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rdf:type |
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lifeskim:mentions |
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pubmed:issue |
3
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pubmed:dateCreated |
2002-3-19
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pubmed:abstractText |
Reproducible measurements of brain tumor volume are helpful in evaluating the response to therapy and the need for changing treatment plans. Our purpose was to adapt the fuzzy-connectedness segmentation technique to measure tumor volume. This technique requires only limited operator interaction.
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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 |
Mar
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|
pubmed:issn |
0195-6108
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pubmed:author |
|
|
pubmed:issnType |
Print
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pubmed:volume |
23
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pubmed:owner |
NLM
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pubmed:authorsComplete |
Y
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pubmed:pagination |
356-63
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pubmed:dateRevised |
2008-2-14
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pubmed:meshHeading |
pubmed-meshheading:11900999-Adult,
pubmed-meshheading:11900999-Aged,
pubmed-meshheading:11900999-Brain Neoplasms,
pubmed-meshheading:11900999-Female,
pubmed-meshheading:11900999-Fuzzy Logic,
pubmed-meshheading:11900999-Glioma,
pubmed-meshheading:11900999-Humans,
pubmed-meshheading:11900999-Image Processing, Computer-Assisted,
pubmed-meshheading:11900999-Magnetic Resonance Imaging,
pubmed-meshheading:11900999-Male,
pubmed-meshheading:11900999-Middle Aged,
pubmed-meshheading:11900999-Observer Variation,
pubmed-meshheading:11900999-Reproducibility of Results
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pubmed:year |
2002
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|
pubmed:articleTitle |
Estimation of tumor volume with fuzzy-connectedness segmentation of MR images.
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pubmed:affiliation |
Neuroradiology Section, Department of Radiology, University of Pennsylvania Medical Center, Philadelphia 19104-4283, USA.
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pubmed:publicationType |
Journal Article,
Research Support, U.S. Gov't, P.H.S.
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