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Using multiscale texture and density features for near-term breast cancer risk analysis
2015
Medical Physics (Lancaster)
Purpose: To help improve efficacy of screening mammography by eventually establishing a new optimal personalized screening paradigm, the authors investigated the potential of using the quantitative multiscale texture and density feature analysis of digital mammograms to predict near-term breast cancer risk. Methods: The authors' dataset includes digital mammograms acquired from 340 women. Among them, 141 were positive and 199 were negative/benign cases. The negative digital mammograms acquired
doi:10.1118/1.4919772
pmid:26127038
pmcid:PMC4441716
fatcat:3aqg5cgjmbggtbtnqklr746csa