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Enhances accuracy in skeletal muscle segmentation using U-Net in body CT images, suggesting improvements in body composition analysis.
Comprehensive learning of all skeletal muscle regions successfully improved the accuracy of U-Net-based 3D automatic segmentation for site-specific skeletal muscles in body CT. It leads to enhanced, precise body composition analysis for skeletal muscle regions.
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Ashino et al. (2026) studied this question.
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