New Frontiers: An Update on Computer-Aided Diagnosis for Breast Imaging in the Age of Artificial Intelligence
New Frontiers: An Update on Computer-Aided Diagnosis for Breast Imaging in the Age of Artificial Intelligence
Yiming Gao,Krzysztof J. Geras,Alana A. Lewin,L. Moy
TLDR
Traditional versus machine learning–based computer-aided detection platforms in breast imaging with a focus on mammography are compared to underscore limitations of traditional CAD, and potential solutions in new CAD systems under development for the future are highlighted.
Abstract
OBJECTIVE. The 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. CONCLUSION. CAD 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.