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# Merlin Plus
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This repository presents Merlin Plus,
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The Melrin Plus annotations were created as part of a collaboration between the Merlin Project at Stanford and the R-Super Project at Johns Hopkins University. R-Super is a novel AI training methodology that uses radiology reports and organ annotations to significantly improve tumor segmentation AI. Merlin Plus makes R-Super easily reproducible for the medical AI community.
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Merlin Plus includes per-voxel annotations for organs, blood vessels, organ parts (liver and pancreas sub-segments), and ducts:
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<details>
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# Merlin Plus
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This repository presents Merlin Plus, per-voxel annotations for organs and other anatomical structures in the 25,494 CT scans of the Merlin dataset (Stanford). The per-voxel annotations were created by AI models trained on more than 14,000 CT scans at Johns Hopkins University.
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The Melrin Plus annotations were created as part of a collaboration between the Merlin Project at Stanford and the R-Super Project at Johns Hopkins University. R-Super is a novel AI training methodology that uses radiology reports and organ annotations to significantly improve tumor segmentation AI. Merlin Plus makes R-Super easily reproducible for the medical AI community.
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> See the [Report Supervision (R-Super) GitHub](https://github.com/MrGiovanni/R-Super) to discover how you can use Merlin Plus to improve **tumor segmentation**.
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Merlin Plus includes per-voxel annotations for organs, blood vessels, organ parts (liver and pancreas sub-segments), and ducts:
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<details>
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