Name
Abstract | ||
|---|---|---|
Feasible clinical application of any automated segmenting methodology demands more than just accuracy. Amendment to the automated delineation is necessary when the algorithm fails, however, integrated solution to such a scenario is largely absent in literature. Hence in this survey we devised an architecture that does both the automated and interactive lung field localizations using a single segmenting engine-random walker algorithm-so that intuitive amendment is only necessary when the automated generated delineation is unsatisfactory. The algorithm proceeds by first extracting 18 intensity profiles running horizontally, each of them equally spacing apart, and in each intensity profile three extreme points denoting the two lungs and the esophagus are determined through profile matching. This done, the algorithm removes profiles that do not intersect with the lung, and the rest of the extreme points are plugged into random walker algorithm to perform segmentation. The achieved accuracy in localization by the above was 0.8875 in terms of overlap measure (the maximum value for this parameter is 1) over 341 images. In the case where unsatisfactory delineation prompts amendment necessary, the user can interactively segment the lung by just a shift on some of the previous-determined points to the desired locations, and random walker algorithm is run again with the amended input. By such a fusion, the benefits of both the automated and interactive segmentation are shared in a single architecture. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1016/j.dsp.2012.12.021 | Digital Signal Processing |
Keywords | Field | DocType |
interactive lung field segmentation,engine-random walker algorithm-so,interactive segmentation,intensity profile,automated capability,interactive lung field,random walker algorithm,automated delineation,intuitive amendment,unsatisfactory delineation,extreme point,algorithm proceed | Extreme point,Computer vision,Market segmentation,Pattern recognition,Segmentation,Artificial intelligence,Random walker algorithm,Lung field,Mathematics,The Intersect | Journal |
Volume | Issue | ISSN |
23 | 3 | 1051-2004 |
Citations | PageRank | References |
2 | 0.37 | 13 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jen Hong Tan | 1 | 275 | 12.93 |
| Rajendra Acharya U | 2 | 4666 | 296.34 |
| Choo Min Lim | 3 | 446 | 28.35 |
| K. Thomas Abraham | 4 | 29 | 2.14 |