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paperarXivTrust 82 · PrimaryPublished 1mo agoLive · 28d ago

Automated Cardiac Adipose Tissue Segmentation in Computed Tomography: A Literature Review

This review provides an overview of recent advancements in automated segmentation methods on Computed Tomography (CT) for two types of cardiac fat: Epicardial adipose Tissue (EAT) and Pericardial Adipose Tissue (PAT). These fat deposits, separated by the pericardium, have been linked to various cardiovascular diseases, with EAT receiving the most research attention. Their complex anatomical context makes manual quantification highly time-consuming and prone to considerable inter-observer variability. Automated methods effectively address these complications, offering a more efficient and consi

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  • FuzzySimilar title/name (fuzzy) · 59%tirth8205/code-review-graph

    Fuzzy title match (0.73): “Automated Cardiac Adipose Tissue Segmentation in Computed To” ≈ “tirth8205/code-review-graph”

  • LinkedLinked via arxiv author · 85%Andreas W. Aspe

    Automated Cardiac Adipose Tissue Segmentation in Computed Tomography: A Literature Review

  • LinkedLinked via arxiv author · 85%Jonas Jalili Pedersen

    Automated Cardiac Adipose Tissue Segmentation in Computed Tomography: A Literature Review

  • LinkedLinked via arxiv author · 85%Andreas Ohrt Johansen

    Automated Cardiac Adipose Tissue Segmentation in Computed Tomography: A Literature Review

  • LinkedLinked via arxiv author · 85%Klaus Fuglsang Kofoed

    Automated Cardiac Adipose Tissue Segmentation in Computed Tomography: A Literature Review

  • LinkedLinked via arxiv author · 85%Kristine Aavild Sørensen

    Automated Cardiac Adipose Tissue Segmentation in Computed Tomography: A Literature Review

  • LinkedLinked via arxiv author · 85%Rasmus Reinhold Paulsen

    Automated Cardiac Adipose Tissue Segmentation in Computed Tomography: A Literature Review

  • LinkedLinked via arxiv author · 85%Josefine Vilsbøll Sundgaard

    Automated Cardiac Adipose Tissue Segmentation in Computed Tomography: A Literature Review

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