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This repository contains tutorial materials (for the most part, as Python notebooks) that are developed to help you learn about [NCI Imaging Data Commons](https://imaging.datacommons.cancer.gov) and utilize it in your work.
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If this is the first time you hear about IDC, you may want to check out our [Getting Started documentationpage](https://learn.canceridc.dev/getting-started-with-idc). Here are some highlights about what IDC has to offer:
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If this is the first time you hear about IDC, you may want to check out our [Getting Started documentation page](https://learn.canceridc.dev/getting-started-with-idc). Here are some highlights about what IDC has to offer:
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***>65 TB of data**: IDC contains radiology, brightfield (H&E) and fluorescence slide microscopy images, along with image-derived data (annotations, segmentations, quantitative measurements) and accompanying clinical data
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