Name
Abstract | ||
|---|---|---|
Objective: During an interactive image segmentation task, the outcome is strongly influenced by human factors. In particular, a reduction in computation time does not guarantee an improvement in the overall segmentation time. This paper characterizes user efficiency during scribble-based interactive segmentation as a function of computation time. Methods: We report a controlled experiment with use... |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/TBME.2017.2777742 | IEEE Transactions on Biomedical Engineering |
Keywords | Field | DocType |
Image segmentation,Visualization,Focusing,Delays,Biomedical imaging,Mice | Computer vision,Medical imaging,Latency (engineering),Visualization,Segmentation,Computer science,Image segmentation,Ranging,Artificial intelligence,Cognition,Computation | Journal |
Volume | Issue | ISSN |
65 | 5 | 0018-9294 |
Citations | PageRank | References |
1 | 0.36 | 0 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Houssem Eddine Gueziri | 1 | 6 | 1.86 |
| Michael J. McGuffin | 2 | 989 | 54.52 |
| Catherine Laporte | 3 | 97 | 11.53 |