Name
Title | ||
|---|---|---|
Automatic detection of over 100 anatomical landmarks in medical CT images: A framework with independent detectors and combinatorial optimization. |
Abstract | ||
|---|---|---|
•Novel landmark detection framework for over 100 anatomical landmarks.•Handling missing landmarks caused by detection failure or a limited imaging range.•Estimation of the positions of missing landmarks.•A stochastic model of a general landmark detector.•Validation with various CT datasets, e.g. different imaging ranges. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1016/j.media.2016.04.001 | Medical Image Analysis |
Keywords | Field | DocType |
Anatomical landmark,Computed tomography,Spine,Combinatorial optimization | Simulated annealing,Computer vision,Landmark point,Pattern recognition,Combinatorial optimization,Ground truth,Artificial intelligence,Sampling (statistics),Landmark,Centroid,Mathematics,Gibbs sampling | Journal |
Volume | ISSN | Citations |
35 | 1361-8415 | 4 |
PageRank | References | Authors |
0.40 | 17 | 9 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Shouhei Hanaoka | 1 | 4 | 0.40 |
| Akinobu Shimizu | 2 | 35 | 7.62 |
| Mitsutaka Nemoto | 3 | 46 | 8.42 |
| Nomura, Y. | 4 | 31 | 9.51 |
| Soichiro Miki | 5 | 15 | 6.44 |
| Takeharu Yoshikawa | 6 | 26 | 7.93 |
| Naoto Hayashi | 7 | 20 | 6.38 |
| Kuni Ohtomo | 8 | 45 | 11.32 |
| Yoshitaka Masutani | 9 | 4 | 0.40 |