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RadImageNet pretrained models demonstrated better interpretability compared with ImageNet models, especially for smaller radiologic datasets.Keywords: CT, MR Imaging, US, Head/Neck, Thorax, Brain/Brain Stem, Evidence-based Medicine, Computer Applications-General (Informatics) Supplemental material is available for this article. Published under a CC BY 4.0 license.See also the commentary by Cadrin-Chênevert in this issue.
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Xueyan Mei
Mount Sinai Hospital
Zelong Liu
Icahn School of Medicine at Mount Sinai
Philip M. Robson
Mount Sinai Medical Center
Radiology Artificial Intelligence
Cornell University
Icahn School of Medicine at Mount Sinai
University of Oklahoma
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Mei et al. (Wed,) studied this question.
synapsesocial.com/papers/69d7717a5f9a1dad534903a0 — DOI: https://doi.org/10.1148/ryai.210315