Image Registration
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 )
Papers
Showing 71–80 of 953 papers
Benchmark Results
| # | Model | Metric | Claimed | Verified | Status |
|---|---|---|---|---|---|
| 1 | RAN4+ | DSC | 0.62 | — | Unverified |
| 2 | CLIP+SVD+ViT | DSC | 0.61 | — | Unverified |
| 3 | CLIP+SVD+ResNet | DSC | 0.6 | — | Unverified |
| 4 | CLIP+ViT | DSC | 0.59 | — | Unverified |
| 5 | Chatgpt+SVD | DSC | 0.58 | — | Unverified |
| 6 | RMAn | DSC | 0.55 | — | Unverified |
| 7 | RAN3 | DSC | 0.54 | — | Unverified |
| 8 | SAME++ | DSC | 0.49 | — | Unverified |
| 9 | Dnet | DSC | 0.47 | — | Unverified |
| # | Model | Metric | Claimed | Verified | Status |
|---|---|---|---|---|---|
| 1 | LKRetina | mAUC | 0.76 | — | Unverified |
| 2 | SuperRetina | mAUC | 0.76 | — | Unverified |
| 3 | REMPE, JBHI 2020 | mAUC | 0.72 | — | Unverified |
| 4 | GLAMpoints, ICCV 2019 | mAUC | 0.62 | — | Unverified |
| 5 | SIFT | mAUC | 0.57 | — | Unverified |
| 6 | PBO, ICIP 2010 | mAUC | 0.55 | — | Unverified |
| # | Model | Metric | Claimed | Verified | Status |
|---|---|---|---|---|---|
| 1 | Region-specific Diffeomorphic Metric Mapping | Dice | 68.18 | — | Unverified |
| 2 | vSVF-net [shen2019networks] | Dice | 67.59 | — | Unverified |
| # | Model | Metric | Claimed | Verified | Status |
|---|---|---|---|---|---|
| 1 | Recursive Refinement Network | landmarks | 0.83 | — | Unverified |