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The dataset containes invasive coronary angiograms for the coronary dominance classification task. The dataset holds 1,574 studies, including X-ray multi-view videos from two different interventional angiography systems. A study has the following tags: bad quality, artifact, high uncertainty, and occlusion. Those tags help to classify dominance classification more accurately and allow to utilize the dataset for uncertainty estimation and outlier detection.

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