Automated fibro-glandular (FG) tissue segmentation in digital mammography using fuzzy logic

摘要

Embodiments of the present invention provide automated systems and methods for segmentation of fibro-glandular (FG) tissue in digital mammography. A classifier is trained for breast density without the prior knowledge for FG tissue. The classifier is then used for feature selection, where the selected features are fed into a fuzzy logic module, and an adaptive threshold is obtained. Post-processing is performed on the image in order to reduce regions which may have been misclassified during the FG segmentation.