Name
Abstract | ||
|---|---|---|
•CNN based medical image segmentation is not robust to scanner, protocol changes.•We propose per-test-image adaptive normalization to tackle this problem.•The adaptation is driven so as to obtain plausible segmentations.•The method works across multi-center datasets of several anatomies. |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1016/j.media.2020.101907 | Medical Image Analysis |
Keywords | DocType | Volume |
Medical image segmentation,Cross-scanner robustness,Cross-protocol robustness,Domain generalization | Journal | 68 |
ISSN | Citations | PageRank |
1361-8415 | 2 | 0.37 |
References | Authors | |
0 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Neerav Karani | 1 | 16 | 4.15 |
| Ertunc Erdil | 2 | 77 | 11.29 |
| Krishna Chaitanya | 3 | 19 | 3.53 |
| Ender Konukoglu | 4 | 1429 | 84.91 |