Name
Abstract | ||
|---|---|---|
In this paper, we propose a novel method to estimate the confidence of a registration that does not require any ground truth, is independent from the registration algorithm and the resulting confidence is correlated with the amount of registration error. We first apply a local search to match patterns between the registered image pairs. Local search induces a cost space per voxel which we explore ... |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1109/TMI.2015.2481609 | IEEE Transactions on Medical Imaging |
Keywords | Field | DocType |
Feature extraction,Image registration,Biomedical imaging,Estimation,Measurement uncertainty,Shape,Accuracy | Stereo matching,Voxel,Computer vision,Pattern recognition,Computer science,Medical imaging,Measurement uncertainty,Feature extraction,Ground truth,Artificial intelligence,Local search (optimization),Image registration | Journal |
Volume | Issue | ISSN |
35 | 2 | 0278-0062 |
Citations | PageRank | References |
5 | 0.44 | 28 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Gorkem Saygili | 1 | 78 | 6.36 |
| Marius Staring | 2 | 971 | 59.25 |
| Emile A. Hendriks | 3 | 261 | 30.44 |