A multi-stage 3D CNN trained purely on synthetic displacement fields registers chest CT scans with landmark errors of 2.32 mm (SPREAD) and 1.86 mm (DIR-Lab-4DCT), competitive with B-spline registration.
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3D Convolutional Neural Networks Image Registration Based on Efficient Supervised Learning from Artificial Deformations
A multi-stage 3D CNN trained purely on synthetic displacement fields registers chest CT scans with landmark errors of 2.32 mm (SPREAD) and 1.86 mm (DIR-Lab-4DCT), competitive with B-spline registration.