Name
Title | ||
|---|---|---|
Regression forest-based automatic estimation of the articular margin plane for shoulder prosthesis planning. |
Abstract | ||
|---|---|---|
•We present a fully automated method for estimating the articular margin plane of the proximal humerus from computed tomography images.•The two-step approach consists of a coarse estimation stage followed by a refinement step which permits to considerably reduce the overall processing time.•The algorithm achieves accuracy comparable to manual annotation.•We present novel feature types that combine a bone enhancing sheetness-measure with ray features.•The method has the potential to automate time-consuming preoperative planning tasks. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1016/j.media.2016.02.008 | Medical Image Analysis |
Keywords | Field | DocType |
Sheetness measure,Computer-assisted preoperative planning,Orthopedic surgery,Humerus | Computer vision,Humerus,Cadaver,Pattern recognition,Regression,Angular error,Arthroplasty,Resection,Ground truth,Artificial intelligence,Shoulder Prosthesis,Mathematics | Journal |
Volume | ISSN | Citations |
31 | 1361-8415 | 0 |
PageRank | References | Authors |
0.34 | 16 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Michael Tschannen | 1 | 143 | 13.58 |
| Lazaros Vlachopoulos | 2 | 0 | 0.34 |
| Christian Gerber | 3 | 0 | 0.68 |
| Gábor Székely | 4 | 254 | 35.35 |
| Philipp Fürnstahl | 5 | 0 | 0.34 |