AI and non-AI methods for cardiac fat segmentation reviewed

A literature review published on arXiv details advancements in automated segmentation methods for cardiac adipose tissue using Computed Tomography (CT). The review covers both AI and non-AI approaches for segmenting Epicardial Adipose Tissue (EAT) and Pericardial Adipose Tissue (PAT), which are linked to cardiovascular diseases. While automated methods show potential for clinical use by achieving human-comparable annotation quality, challenges remain, including the need for larger public datasets and optimized thresholds for contrast-enhanced CT. AI

IMPACT Automated segmentation methods show promise for clinical applications in cardiovascular disease risk assessment.

RANK_REASON The item is a literature review published on arXiv, focusing on research methods. [lever_c_demoted from research: ic=1 ai=1.0]

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• arXiv
• cardiovascular disease
• Computed Tomography
• Epicardial adipose Tissue

• paper
• other

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