RadImageNet: An Open Radiologic Deep Learning Research Dataset for Effective Transfer Learning

"Just Accepted" papers have undergone full peer review and have been accepted for publication in Radiology: Artificial Intelligence. This article will undergo copyediting, layout, and proof review before it is published in its final version. Please note that during production of the final copyedited article, errors may be discovered which could affect the content. To demonstrate the value of pretraining with millions of radiologic images compared with ImageNet photographic images on downstream medical applications when using transfer learning. This retrospective study included patients who had a radiologic study between 2005 and 2020 at an outpatient imaging facility.