Published June 23, 2026 | Version v1
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AngioLens

Authors/Creators

  • 1. ROR icon Misr University for Science and Technology

Description

Overview

AngioLens is a curated coronary angiography image dataset collected from real clinical procedures performed at the Cardiac Catheterization Unit of Souad Kafafi University Hospital. The dataset is designed to support research in coronary artery disease analysis and various artificial intelligence applications, including vessel segmentation, stenosis detection, classification, and treatment outcome assessment.

The dataset is organized into four categories:

1-Pre-Treatment
Coronary angiography images acquired before intervention (3416 images).

2-Post-Treatment
Coronary angiography images acquired after treatment procedures (3598 images).

3-Normal
Coronary angiography images without significant coronary artery disease (1089 images).

4-Unique Stenosis Views
Unique angiographic views showing stenotic coronary arteries from a single projection angle (1613 images).

 

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