Demonstrates improved image quality and lesion visibility in lung CT images using deep learning techniques, suggesting significant implications for medical imaging.
This study demonstrates that the Swin2SR model significantly improves radiologists' subjective ratings of image quality and lesion visibility in lung CT images, and highlights the potential of deep learning in enhancing medical image interpretation.
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Li et al. (2026) studied this question.
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