Name
Title | ||
|---|---|---|
Combining convolutional neural networks and star convex cuts for fast whole spine vertebra segmentation in MRI |
Abstract | ||
|---|---|---|
•Average whole-spine Dice coefficients of 93.8%.•Average lumbar Dice coefficients of 96.0%.•Average run time per whole-spine image of 32.4 sec.•Average run time per lumbar image of 6.3 sec.•Performs equally well on T1- and T2-weighted sequences. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1016/j.cmpb.2019.05.003 | Computer Methods and Programs in Biomedicine |
Keywords | Field | DocType |
Magnetic resonance,Spine analysis,Vertebra segmentation,Graph cuts,Neural networks | Cut,Computer vision,Data set,Convolutional neural network,Computer science,Segmentation,Regular polygon,Artificial intelligence,Vertebra,Time complexity,Encoding (memory) | Journal |
Volume | ISSN | Citations |
177 | 0169-2607 | 0 |
PageRank | References | Authors |
0.34 | 0 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Marko Rak | 1 | 31 | 8.37 |
| Johannes Steffen | 2 | 1 | 2.05 |
| Anneke Meyer | 3 | 5 | 2.13 |
| Christian Hansen | 4 | 191 | 31.27 |
| Klaus D. Tönnies | 5 | 215 | 44.39 |