RPLHR-CT Dataset and Transformer Baseline for Volumetric Super-Resolution from CT Scans
Pengxin Yu,
Haoyue Zhang,
Han Kang
et al.
Abstract:In clinical practice, anisotropic volumetric medical images with low through-plane resolution are commonly used due to short acquisition time and lower storage cost. Nevertheless, the coarse resolution may lead to difficulties in medical diagnosis by either physicians or computer-aided diagnosis algorithms. Deep learning-based volumetric super-resolution (SR) methods are feasible ways to improve resolution, with convolutional neural networks (CNN) at their core. Despite recent progress, these methods are limit… Show more
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