Adipose Tissue
Adipose tissue research focuses on accurately quantifying and characterizing different types of fat (e.g., visceral, subcutaneous, epicardial) within the body, crucial for assessing health risks and disease progression. Current research employs advanced imaging techniques (CT, MRI) coupled with automated segmentation methods, often utilizing convolutional neural networks (like U-Net and its variants) and graph neural networks, to improve efficiency and accuracy of body composition analysis. These advancements are significantly impacting clinical practice by enabling faster, more precise diagnoses and personalized risk assessments for conditions linked to obesity and metabolic disorders.
Papers
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