HRINet: Alternative Supervision Network for High-resolution CT image Interpolation

11 Feb 2020Jiawei LiJae Chul KohWon-Sook Lee

Image interpolation in medical area is of high importance as most 3D biomedical volume images are sampled where the distance between consecutive slices significantly greater than the in-plane pixel size due to radiation dose or scanning time. Image interpolation creates a number of new slices between known slices in order to obtain an isotropic volume image... (read more)

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