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The CRDN annotation project is a collaborative effort between XXXXXXX and Centaur Labs to annotate a dataset of XXX angiograms and corresponding CT scans.
The primary goal is to support AI model development for coronary and renal denervation procedures by generating high -quality, frame -aligned annotations across modalities.
Expert -led annotation of coronary and renal arteries
Cross -modality alignment between CT and angiogram images
Protocol -driven segmentation using internal standards and gold guidelines
| Attribute | Details |
|---|---|
| Modality | CT (Computed Tomography) and Angiogram images |
| Format | DICOM image sequences (cine loops) and static frames |
| Content | Imaging of coronary and renal arteries, including calcium deposits |
| Category | Details |
|---|---|
| Segmentation | Polygon -based segmentation of anatomical structures in CT and angiogram images |
| Labeling Targets | - Coronary arteries - Renal arteries - Calcium deposits (if visible) |
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