Name
Abstract | ||
|---|---|---|
Suppressing thoracic bone shadows in chest radiographs has been previously reported to improve the detection rates for solid lung nodules, however at the cost of increased false detection rates. These bone suppression methods are based on an artificial neural network that was trained using dual-energy subtraction images in order to mimic their appearance. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1007/s11548-015-1278-y | Int. J. Computer Assisted Radiology and Surgery |
Keywords | DocType | Volume |
Bone suppression, Thorax, Radiography, Lung nodule | Journal | 11 |
Issue | ISSN | Citations |
4 | 1861-6429 | 3 |
PageRank | References | Authors |
0.51 | 7 | 8 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jens Von Berg | 1 | 247 | 27.11 |
| Stewart Young | 2 | 30 | 6.74 |
| heike carolus | 3 | 3 | 0.51 |
| Robin Wolz | 4 | 661 | 34.42 |
| Axel Saalbach | 5 | 49 | 10.28 |
| alberto hidalgo | 6 | 3 | 0.51 |
| a gimenez | 7 | 3 | 0.51 |
| tomas franquet | 8 | 3 | 0.51 |