Peripheral arterial occlusive disease (PAOD) can be diagnosed using lower extremity computed tomography angiography (CTA), assessing stenosis in arteries of lower extremities. We aimed to develop and evaluate a deep learning-based detection algorithm for the preliminary screening and interpretation of significant stenosis in the lower extremity arteries, with a focus on the femoropopliteal artery, based on maximum intensity projection (MIP) images of lower extremity CTA in patients with PAOD.
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