Source:http://linkedlifedata.com/resource/pubmed/id/19020215
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| Predicate | Object |
|---|---|
| rdf:type | |
| lifeskim:mentions | |
| pubmed:issue |
6
|
| pubmed:dateCreated |
2008-11-21
|
| pubmed:abstractText |
We used an algorithm for quantitative image processing to classify breast tissue into the categories fibrosis, involution atrophy, and normal. The algorithm entailed use of Minkowski functionals in topologic analysis of x-ray attenuation patterns on digital mammograms. The results were compared with those of techniques based on evaluation of gray-level histograms.
|
| pubmed:language |
eng
|
| pubmed:journal | |
| pubmed:citationSubset |
AIM
|
| pubmed:status |
MEDLINE
|
| pubmed:month |
Dec
|
| pubmed:issn |
1546-3141
|
| pubmed:author | |
| pubmed:issnType |
Electronic
|
| pubmed:volume |
191
|
| pubmed:owner |
NLM
|
| pubmed:authorsComplete |
Y
|
| pubmed:pagination |
W275-82
|
| pubmed:meshHeading |
pubmed-meshheading:19020215-Absorptiometry, Photon,
pubmed-meshheading:19020215-Algorithms,
pubmed-meshheading:19020215-Artificial Intelligence,
pubmed-meshheading:19020215-Breast Diseases,
pubmed-meshheading:19020215-Female,
pubmed-meshheading:19020215-Humans,
pubmed-meshheading:19020215-Mammography,
pubmed-meshheading:19020215-Pattern Recognition, Automated,
pubmed-meshheading:19020215-Radiographic Image Enhancement,
pubmed-meshheading:19020215-Reproducibility of Results,
pubmed-meshheading:19020215-Sensitivity and Specificity
|
| pubmed:year |
2008
|
| pubmed:articleTitle |
Automated classification of breast parenchymal density: topologic analysis of x-ray attenuation patterns depicted with digital mammography.
|
| pubmed:affiliation |
Department of Radiology, University of Munich, Campus Downtown, Nussbaum-Str. 20, D 80336 Munich, Germany. holger.boehm@med.uni-muenchen.de
|
| pubmed:publicationType |
Journal Article,
Evaluation Studies
|