SSAD: Prior-driven self-supervised staircase artifact denoising via diffeomorphic flow for volumetric medical image surface reconstruction.
Accurate 3D surface reconstruction is indispensable for morphology-sensitive tasks in volumetric medical image analysis, such as clinical diagnosis and autonomous surgery. However, the discrete nature of volumetric scans only yields voxel-represented pseudo GT surface inherently affected by staircase artifacts, severel...