Deep Slice Interpolation for Reducing Through-Plane Anisotropy and Noise in Head CT
Researchers have developed a deep learning system to improve the resolution of head CT scans by interpolating intermediate slices. This method effectively halves the through-plane spacing, enhancing 3D visualization and reducing noise. The system was evaluated using various loss functions, with MS-SSIM+L1 showing the most promising results, outperforming traditional interpolation techniques. AI
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