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Detection of Architectural Distortion in Prior Mammograms via Analysis of Oriented Patterns
Published on: August 30, 2013
Artificial intelligence improves mammography-based breast cancer risk prediction
Wendy V Ingman1, Kara L Britt2, Jennifer Stone3
1Discipline of Surgical Specialities, Adelaide Medical School, University of Adelaide, The Queen Elizabeth Hospital, Adelaide 5011, Australia; Robinson Research Institute, University of Adelaide, Adelaide 5005, Australia.
Abstract:
Artificial intelligence (AI) is enabling us to delve deeply into the information inherent in a mammogram and identify novel features associated with high risk of a future breast cancer diagnosis. Here, we discuss how AI is improving mammographic density-associated risk prediction and shaping the future of screening and risk-reducing strategies.
