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eess.IV2023
Multivariate Analysis on Performance Gaps of Artificial Intelligence Models in Screening Mammography
Linglin Zhang, Beatrice Brown-Mulry, Vineela Nalla +7
Although deep learning models for abnormality classification can perform well in screening mammography, the demographic, imaging, and clinical characteristics associated with incre…
eess.IV2020★ 3 cited
Evaluating Knowledge Transfer in Neural Network for Medical Images
Sina Akbarian, Laleh Seyyed-Kalantari, Farzad Khalvati +1
Deep learning and knowledge transfer techniques have permeated the field of medical imaging and are considered as key approaches for revolutionizing diagnostic imaging practices. H…