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segmentation of blood vessels using rule-based and machine-learning-based methods: a review  (Multimed Inc)

 
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    Multimed Inc segmentation of blood vessels using rule-based and machine-learning-based methods: a review
    Segmentation Of Blood Vessels Using Rule Based And Machine Learning Based Methods: A Review, supplied by Multimed Inc, 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/based+machine+learning+methods/segmentation+of+blood+vessels+using+rule+based+and+machine+learning+based+methods++a+review/pm33373814-346-8-12
    Average 90 stars, based on 1 article reviews
    segmentation of blood vessels using rule-based and machine-learning-based methods: a review - by Bioz Stars, 2026-10
    90/100 stars

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    Article Title: Automated coronary artery tree segmentation in coronary CTA using a multiobjective clustering and toroidal model-guided tracking method.
    Article Snippet: Background and objective: Accurate coronary artery tree segmentation can now be developed to assist radiologists in detecting coronary artery disease.. In clinical medicine, the noise, low contrast, and uneven intensity of medical images along with complex shapes and vessel bifurcation structures make coronary artery segmentation challenging.. In this work, we propose a multiobjective clustering and toroidal modelguided tracking method that can accurately extract coronary arteries from computed tomography angiography (CTA) imagery.



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