https://github.com/w19787/Recursive-Cascaded-Networks-TF2.0
VoxelMorph: A Learning Framework for Deformable Medical Image Registration
Papers with Code 아카이브
Image Registration
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
- 2
- 평가표
- 5
- 보존된 평가 기록
- 22
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 )
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/winterpan2017/adlreg
VoxelMorph: A Learning Framework for Deformable Medical Image Registration
https://github.com/xiaoyu258/geoproj
Blind Geometric Distortion Correction on Images Through Deep Learning
https://github.com/xzluo97/MvMM-RegNet
https://github.com/yf817/ICNet
Inverse-Consistent Deep Networks for Unsupervised Deformable Image Registration
https://github.com/yh854/Rigid-Registration-of-3D-MRI-Based-on-Unsupervised-Learning
An Unsupervised Learning Model for Deformable Medical Image Registration
https://github.com/yipenghu/label-reg
Label-driven weakly-supervised learning for multimodal deformable image registration
https://github.com/zhangjun001/ICNet
Inverse-Consistent Deep Networks for Unsupervised Deformable Image Registration
https://github.com/ziyangwang007/mamba-unet
https://github.com/zsyzzsoft/Recursive-Cascaded-Networks
Unsupervised 3D End-to-End Medical Image Registration with Volume Tweening Network
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.