Diffeomorphic Medical Image Registration
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Diffeomorphic mapping is the underlying technology for mapping and analyzing information measured in human anatomical coordinate systems which have been measured via Medical imaging. Diffeomorphic mapping is a broad term that actually refers to a number of different algorithms, processes, and methods. It is attached to many operations and has many applications for analysis and visualization. Diffeomorphic mapping can be used to relate various sources of information which are indexed as a function of spatial position as the key index variable. Diffeomorphisms are by their Latin root structure preserving transformations, which are in turn differentiable and therefore smooth, allowing for the calculation of metric based quantities such as arc length and surface areas. Spatial location and extents in human anatomical coordinate systems can be recorded via a variety of Medical imaging modalities, generally termed multi-modal medical imagery, providing either scalar and or vector quantities at each spatial location.
<span style="color:grey; opacity: 0.6">( Image credit: Quicksilver )</span>
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/uncbiag/registration
공식 코드https://github.com/voxelmorph/voxelmorph
공식 코드VoxelMorph: A Learning Framework for Deformable Medical Image Registration
https://github.com/ANTsX/ANTs
https://github.com/CIG-UCL/eddeep
VoxelMorph: A Learning Framework for Deformable Medical Image Registration
https://github.com/CIG-UCL/polaffini
VoxelMorph: A Learning Framework for Deformable Medical Image Registration
https://github.com/acasamitjana/3dhirest
VoxelMorph: A Learning Framework for Deformable Medical Image Registration
https://github.com/jw4hv/geo-sic
VoxelMorph: A Learning Framework for Deformable Medical Image Registration
https://github.com/lajipeng/Recursive-Cascaded-Networks-master
VoxelMorph: A Learning Framework for Deformable Medical Image Registration
https://github.com/olddriverjinx/reimplemention-of-dual-prnet
VoxelMorph: A Learning Framework for Deformable Medical Image Registration
https://github.com/w19787/Recursive-Cascaded-Networks-TF2.0
VoxelMorph: A Learning Framework for Deformable Medical Image Registration
https://github.com/winterpan2017/adlreg
VoxelMorph: A Learning Framework for Deformable Medical Image Registration
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.