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AJR Am J Roentgenol · Feb 2019
ReviewNew Frontiers: An Update on Computer-Aided Diagnosis for Breast Imaging in the Age of Artificial Intelligence.
- Yiming Gao, Krzysztof J Geras, Alana A Lewin, and Linda Moy.
- 1 Department of Radiology, New York University School of Medicine, 160 E 34th St, New York, NY 10016.
- AJR Am J Roentgenol. 2019 Feb 1; 212 (2): 300-307.
ObjectiveThe purpose of this article is to compare traditional versus machine learning-based computer-aided detection (CAD) platforms in breast imaging with a focus on mammography, to underscore limitations of traditional CAD, and to highlight potential solutions in new CAD systems under development for the future.ConclusionCAD development for breast imaging is undergoing a paradigm shift based on vast improvement of computing power and rapid emergence of advanced deep learning algorithms, heralding new systems that may hold real potential to improve clinical care.
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