Upload domain_shift_dataset.7z

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”,
Description: “positioner angle, degree”
}

{Name:”secondary_positioner_angle”,
Type:”Float ”,
Range: “-90 - 90, None”,
Description: “positioner angle, degree”}

{Name:”is_occlusion”,
Type:”Boolean”,
Range: “ {True, False}, None”,
Description: “Occlusion in RCA”
}

{Name:”is_undefined”,
Type:”Boolean”,
Range: “ {True, False}, None”,
Description: “Studies with high uncertainty”
}

{Name:”is_artefact”,
Type:”Boolean”,
Range: “ {True, False}, None”,
Description: “The presence of artifacts”
}

{Name:”artery_type”,
Type:”String”,
Range: “{LCA, RCA}”,
Description: “Coronary artery type”
}

domain_shift_dataset.7z

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:2f9d5415c2520ee0fb8fc13bd58b06356eededb6ebb9948a2cd2e2941e6c2e3b
+size 7813551872