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RadImageNet: An Open Radiologic Deep Learning Research Dataset for Effective Transfer Learning
273
Zitationen
15
Autoren
2022
Jahr
Abstract
RadImageNet pretrained models demonstrated better interpretability compared with ImageNet models, especially for smaller radiologic datasets.<b>Keywords:</b> CT, MR Imaging, US, Head/Neck, Thorax, Brain/Brain Stem, Evidence-based Medicine, Computer Applications-General (Informatics) <i>Supplemental material is available for this article.</i> Published under a CC BY 4.0 license.See also the commentary by Cadrin-Chênevert in this issue.
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