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Dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) is an evolving tool for determining breast diseases. Assisted with computer-aided methods (CAD), DCE-MRI demonstrates its efficiency on breast cancer diagnosis. A crucial step for automatic DCE-MRI analysis is to separate breast regions from the noise-corrupted background on DCE-MRI images. In(More)
Breast density is a widely adopted measure for early breast cancer diagnose. In this paper, an automated breast density estimation method was proposed. Mammograms were analyzed using wavelet transform to extract tissue-like contents. A tissue image was then divided into fixed size sub-regions. The sub-regions were classified as high and low density(More)
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