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Cross-Domain Knowledge Transfer from Expert-Annotated Gated CT via Synthetic Ungated CT Improves Coronary Artery Calcium Scoring on CT Attenuation Correction Scans

2026-07-06

Abstract excerpt

<h4>ABSTRACT</h4> <h4>Background</h4> Coronary artery calcium (CAC) is an established measure of coronary atherosclerosis from computed tomography (CT). While deep learning (DL) can quantify CAC from non-dedicated CT, the accuracy is limited by image quality. <h4>Purpose</h4> We derived and validated a novel method for DL CAC segmentation on ultra-low dose CT attenuation correction (CTAC) scans that is trained...

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Literature Corpus work
09c573ee-af38-5229-95c9-b9cf3efc1d89
DOI
10.64898/2026.07.02.26356002
Open publication

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Cross-Domain Knowledge Transfer from Expert-Annotated Gated CT via Synthetic Ungated CT Improves Coronary Artery Calcium Scoring on CT Attenuation Correction ScansDOI 10.64898/2026.07.02.26356002
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