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automated edge-detection algorithm qangio xa 7.3  (Medis)

 
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    Structured Review

    Medis automated edge-detection algorithm qangio xa 7.3
    Automated Edge Detection Algorithm Qangio Xa 7.3, supplied by Medis, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/edge-detection+algorithm/computer+assisted++automated+edge+detection+algorithm+qangio+xa/pm40503438-67-3-8
    Average 90 stars, based on 1 article reviews
    automated edge-detection algorithm qangio xa 7.3 - by Bioz Stars, 2026-10
    90/100 stars

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    Related Articles

    Software:

    Article Title: Diagnostic performance of calcification-suppressed coronary CT angiography using rapid kilovolt-switching dual-energy CT.
    Article Snippet: Quantitative coronary angiography (QCA) was performed by using an edge-detection algorithm with validated commercially available software (QAngioXA, Medis Medical Imaging Systems BV, Leiden, the Netherlands).

    Article Title: Long-term clinical outcomes after sirolimus-eluting stent implantation in dialysis patients.
    Article Snippet: Angiographic analysis: An independent analysis using a computer-assisted, automated, edge-detection algorithm (CMS, MEDIS, Leiden, The Netherlands) was performed by an experienced cardiologist (E.I.) who was unaware of the clinical outcomes of the patients.

    Imaging:

    Article Title: Diagnostic performance of calcification-suppressed coronary CT angiography using rapid kilovolt-switching dual-energy CT.
    Article Snippet: Quantitative coronary angiography (QCA) was performed by using an edge-detection algorithm with validated commercially available software (QAngioXA, Medis Medical Imaging Systems BV, Leiden, the Netherlands).

    Article Title: Long-term clinical outcomes after sirolimus-eluting stent implantation in dialysis patients.
    Article Snippet: Angiographic analysis: An independent analysis using a computer-assisted, automated, edge-detection algorithm (CMS, MEDIS, Leiden, The Netherlands) was performed by an experienced cardiologist (E.I.) who was unaware of the clinical outcomes of the patients.



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