Name
Abstract | ||
|---|---|---|
To detect lung area, this paper proposes curve stopping function that is based on CT coefficient of area of lung parenchyma instead of existing edge indication function. The proposed method was compared numerically using various measures and this method can detect better lung parenchyma region than existing methods. In addition, detecting procedure of the area of lung parenchyma was visually verified in lung images. |
Year | DOI | Venue |
|---|---|---|
2006 | 10.1093/ietfec/e89-a.6.1727 | IEICE Transactions |
Keywords | Field | DocType |
ct coefficient,edge indication function,better lung parenchyma region,geodesic active contour model,various measure,lung image,lung area,new curve stopping function,lung parenchyma,lung segmentation | Topology,Pattern recognition,Geodesic active contour,Parenchyma,Theoretical computer science,Artificial intelligence,Lung segmentation,Mathematics | Journal |
Volume | Issue | ISSN |
E89-A | 6 | 0916-8508 |
Citations | PageRank | References |
3 | 0.44 | 0 |
Authors | ||
8 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Chul-ho Won | 1 | 42 | 13.41 |
| Dong Hun Kim | 2 | 38 | 6.19 |
| Jung-Hyun Lee | 3 | 188 | 23.59 |
| Ki Won Yoon | 4 | 3 | 0.44 |
| Sang Hyo Woo | 5 | 11 | 4.28 |
| Young Ho Yoon | 6 | 3 | 0.78 |
| Min Kyu Kim | 7 | 130 | 21.25 |
| Jin Ho Cho | 8 | 3 | 1.12 |