computer-vision-10
Image Registration
3260 papers • 126 benchmarks • 313 datasets
Image registration is the process of transforming different sets of data into one coordinate system. Data may be multiple photographs, data from different sensors, times, depths, or viewpoints. It is used in computer vision, medical imaging, and compiling and analyzing images and data from satellites. Registration is necessary in order to be able to compare or integrate the data obtained from these different measurements. Source: Image registration | Wikipedia ( Image credit: Kornia )
(Image credit: Papersgraph)
Benchmarks
These leaderboards are used to track progress in image-registration-10
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Unpaired-abdomen-CT
Unpaired-abdomen-CT
FIRE
FIRE
Unpaired-lung-CT
Unpaired-lung-CT
Libraries
iUse these libraries to find image-registration-10 models and implementations
5 papers 2,186
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Most implemented papers
VoxelMorph: A Learning Framework for Deformable Medical Image Registration
Guha Balakrishnan, Adrian V. Dalca, Amy Zhao, M. Sabuncu, J. Guttag•Thu Sep 13 2018
VoxelMorph promises to speed up medical image analysis and processing pipelines while facilitating novel directions in learning-based registration and its applications and demonstrates that the unsupervised model’s accuracy is comparable to the state-of-the-art methods while operating orders of magnitude faster.
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