Image Analysis Using Mathematical Morphology
IEEE Transactions on Pattern Analysis and Machine Intelligence
Combining Pattern Classifiers: Methods and Algorithms
Combining Pattern Classifiers: Methods and Algorithms
A Novel Breast Tissue Density Classification Methodology
IEEE Transactions on Information Technology in Biomedicine
Breast density classification to reduce false positives in CADe systems
Computer Methods and Programs in Biomedicine
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Breast tissue density is an important risk factor in the detection of breast cancer It is also known that interpretation of mammogram lesions is more difficult in dense tissues Therefore, getting a preliminary tissue classification may aid in the subsequent process of breast lesion detection and analysis This article reviews several classification techniques for two datasets, both digitized screen-film (SFM) and full-field digital (FFDM) mammography, classified according to BIRADS categories It concludes with a hierarchical classification procedure based on k-NN combined with principal component analysis on texture features The results obtained classifying 1740 mammograms reflect up to 83% of samples correctly classified The method is being integrated within a CADe system developed by the authors.