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Association between computed tissue density asymmetry in bilateral mammograms and near-term breast cancer risk.
Applying a new quantitative image analysis scheme based on global mammographic features to assist diagnosis of breast cancer.
Developing a new case based computer-aided detection scheme and an adaptive cueing method to improve performance in detecting mammographic lesions.
Prediction of breast cancer risk using a machine learning approach embedded with a locality preserving projection algorithm.
Mammographic Density and Tissue Asymmetry Based Breast Cancer Risk Stratification