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The open-access generative artificial intelligence model CT-Palette may enable more accurate recovery of truncated regions on axial chest CT images at the fifth, eighth, and tenth thoracic vertebral levels compared with S-EFOV, the current state-of-the-art model.
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Graur et al. (2026) studied this question.
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