In addition to creating an open and global repository of datasets from Stanford and other institutions around the world, the platform will also provide a hub for sharing research and will even offer cloud-based computing power for researchers, according to a post by the university.
The shared dataset platform can be accessed here. The collection of deidentified and annotated datasets are available in three categories: bone, extremity, and chest.
The platform already has nine datasets containing more than one million images, and AIMI co-director Dr. Matthew Lungren predicts that will more than double over the next year. In the future, the university said it plans to also offer standardized machine-learning tools and pretrained models leveraging open-source data and common architectures.
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