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Open source data can be very valuable when starting to think through building a medical data labeling pipeline (more on that in our free white paper)
We thought it would be helpful to put some of our favorite open source datasets in an organized list and share them out to the community.
In our list, you can explore dozens of datasets by size, category, modality (including X-ray, Ultrasound, Whole Slide Images, CT Scans, ECGs) and more. Additionally, we have included a brief description that helps you to quickly understand the specific abnormalities of interest, balance of the data and information about annotations included such as medical image classifications or segmentations.
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Access the full collection here.
If you know of any datasets that should be added to this list, please let us know!
From SMS to insurance claims to pathology reports and scientific studies, in this post we dig into the most common type of medical text datasets leveraged for NLP in healthcare.
Listen to Co-founder and CEOÂ Erik Duhaime talk about the origins of Centaur Labs and the future of medical data labeling.
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