Name
Title | ||
|---|---|---|
Random walks with shape prior for cochlea segmentation in ex vivo \(\mu \hbox {CT}\). |
Abstract | ||
|---|---|---|
PurposeCochlear implantation is a safe and effective surgical procedure to restore hearing in deaf patients. However, the level of restoration achieved may vary due to differences in anatomy, implant type and surgical access. In order to reduce the variability of the surgical outcomes, we previously proposed the use of a high-resolution model built from (mu hbox {CT}) images and then adapted to patient-specific clinical CT scans. As the accuracy of the model is dependent on the precision of the original segmentation, it is extremely important to have accurate (mu hbox {CT}) segmentation algorithms. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1007/s11548-016-1365-8 | Int. J. Computer Assisted Radiology and Surgery |
Keywords | Field | DocType |
Random walks, Random walks with prior, Prior models, Distance map, Probabilistic map, Shape prior | Ex vivo,Computer vision,Random walk,Segmentation,Cochlea,Distance transform,Artificial intelligence,Medicine | Journal |
Volume | Issue | ISSN |
11 | 9 | 1861-6429 |
Citations | PageRank | References |
1 | 0.36 | 21 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Esmeralda Ruiz Pujadas | 1 | 2 | 1.40 |
| Hans Martin Kjer | 2 | 14 | 5.60 |
| G Piella | 3 | 366 | 43.86 |
| Mario Ceresa | 4 | 22 | 9.97 |
| Miguel Angel González Ballester | 5 | 15 | 6.69 |