Name
Abstract | ||
|---|---|---|
Airway diseases are frequently associated with morphological changes that may affect the physiology of the lungs. Accurate characterization of airways may be useful for quantitatively assessing prognosis and for monitoring therapeutic efficacy. The information gained may also provide insight into the underlying mechanisms of various lung diseases. We developed a computerized scheme to automaticall... |
Year | DOI | Venue |
|---|---|---|
2011 | 10.1109/TMI.2010.2076300 | IEEE Transactions on Medical Imaging |
Keywords | Field | DocType |
Lungs,Anatomical structure,Image segmentation,Shape,Smoothing methods,Atmospheric modeling,Computed tomography | Computer vision,Segmentation,Geometric analysis,Image noise,Image segmentation,Artificial intelligence,Test case,Airway,Partial volume,Mathematics,Shape analysis (digital geometry) | Journal |
Volume | Issue | ISSN |
30 | 2 | 0278-0062 |
Citations | PageRank | References |
10 | 0.58 | 30 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jiantao Pu | 1 | 277 | 23.12 |
| Carl Fuhrman | 2 | 39 | 2.57 |
| Walter F. Good | 3 | 78 | 15.30 |
| Frank C Sciurba | 4 | 51 | 4.32 |
| David Gur | 5 | 120 | 31.52 |