Statements in which the resource exists.
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pubmed-article:19020215pubmed:abstractTextWe 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.lld:pubmed
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pubmed-article:19020215pubmed:articleTitleAutomated classification of breast parenchymal density: topologic analysis of x-ray attenuation patterns depicted with digital mammography.lld:pubmed
pubmed-article:19020215pubmed:affiliationDepartment of Radiology, University of Munich, Campus Downtown, Nussbaum-Str. 20, D 80336 Munich, Germany. holger.boehm@med.uni-muenchen.delld:pubmed
pubmed-article:19020215pubmed:publicationTypeJournal Articlelld:pubmed
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