Although the image quality of DL-based synthetic thin-slice CT shows an increasing trend, the absence of comprehensive multicenter validation poses a barrier to the clinical application of such synthetic medical images.
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Spatial resolution enhancement using deep learning improves chest disease diagnosis based on thick slice CT.
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