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.
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.
This is a dataset containing invasive coronary angiograms for the coronary dominance classification task.
The dataset holds 1,574 angiographic 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.
Domain shift dataset. Data collected from Philips Azurion
Dataset consists of Left_Dominance and Right_Dominance subfolders. Each subfolder contains
study folders with two subfolders - RCA and LCA for the right and left coronary arteries respectievly. RCA and LCA contain .npz files
of angiographic views.
.npz file have the following fields:
{Name:”pixel_array”,
Type:”Float array, size of frames×512×512”,
Range: “0 - 255”,
Description: “angiographic 3D view”
}
{Name:”seriesid”,
Type:”string”,
Range: “consist of numbers and ‘.’ ”,
Description: “unique ID of an angiographic view”
}
{Name:”studyid”,
Type:”string”,
Range: “consist of numbers and ”.” ”,
Description: “unique ID of an angiographic study”
}
{Name:”series number”,
Type:”integer”,
Range: “0 - 1025”,
Description: “ID of an angiographic view”
}
{Name:”is_collaterals”,
Type:”Boolean”,
Range: “{True, False, None}”,
Description: “Collaterals in LCA”
}
{Name:”primary_positioner_angle”,
Type:”Float ”,
Range: “-90 - 90, None”,
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