Susan Weinstein

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Breast ultrasound (US) in conjunction with digital mammography has come to be regarded as the gold standard for breast cancer diagnosis. While breast US has certain advantages over digital mammography, it suffers from image artifacts such as posterior acoustic shadowing (PAS), presence of which often obfuscates lesion margins. Since classification of(More)
In this paper we propose an atlas-aided probabilistic model-based segmentation method for estimating the fibroglandular tissue in breast MRI, where a novel fibroglandular tissue atlas is learned to aid the segmentation. The atlas represents a pixel-wise likelihood of being fibroglandular tissue in the breast, which is derived by combining deformable image(More)
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