Main Article Content
Abstract
Breast density is known to be an important indicator of breast cancer risk. Quantitative estimation
approaches have been developed and some of these are based on grey level or texture metrics. Developing an
example of the former, we combined multi-resolution histograms and pattern matching approaches. The results
show good agreement compared to expert radiologist classification. The presented approach provides similar
results to existing methods and limitations are discussed.
Keywords: multi-resolution histogram technique, mammography, breast density classification
approaches have been developed and some of these are based on grey level or texture metrics. Developing an
example of the former, we combined multi-resolution histograms and pattern matching approaches. The results
show good agreement compared to expert radiologist classification. The presented approach provides similar
results to existing methods and limitations are discussed.
Keywords: multi-resolution histogram technique, mammography, breast density classification