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README.md

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 authors: Ivan Kruzhilov, Gleb Mazanov, Alexander Ponomarchuk, Galina Zubkova, Artem Shadrin, Ruslan Utegenov, Pavel Blinov, Ivan Bessonov
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+Ivan Kruzhilov, Gleb Mazanov, Alexander Ponomarchuk, Galina Zubkova, Artem Shadrin, Ruslan Utegenov, Pavel Blinov, Ivan Bessonov
+CoronaryDominance: Angiogram dataset for coronary dominance classification
+prepared for Nature Scientific Data
+
 The dataset containes invasive coronary angiograms for the coronary dominance classification task, an essential aspect in assessing the severity of coronary artery disease.
 The dataset holds 1,574 studies, including X-ray multi-view videos from two different interventional angiography systems.
 Each 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.