A 3D conditional GAN with a fully convolutional generator and body-part-conditioned discriminator produces virtual thin slices from thick CT input, outperforming bicubic, SRCNN, and Pix2Pix baselines.
In: International Conference on Medical Image Computing and Computer-Assisted Intervention
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Virtual Thin Slice: 3D Conditional GAN-based Super-resolution for CT Slice Interval
A 3D conditional GAN with a fully convolutional generator and body-part-conditioned discriminator produces virtual thin slices from thick CT input, outperforming bicubic, SRCNN, and Pix2Pix baselines.