Name
Abstract | ||
|---|---|---|
In assessing the malignant potential of small pulmonary nodules in thin-section CT images, it is important to examine the nodule internal structure. In our previous work, we found that internal structure features derived from CT density and curvature indexes such shape index and curvedness were useful for differentiating malignant and benign nodules in 3-D thoracic CT images. This may be attributed to the texture changes in the nodule region due to a developing malignancy. We present a joint histogram-based representation approach of inner structures of the nodule to visualize the characteristics between nodules. |
Year | DOI | Venue |
|---|---|---|
2002 | 10.1117/12.467088 | Proceedings of SPIE |
Keywords | Field | DocType |
computer-aided diagnosis,pulmonary nodule,internal structure,joint histogram-based on representation,visualization | Histogram,Shape index,Computer-aided diagnosis,Malignancy,Radiology,Medicine | Conference |
Volume | ISSN | Citations |
4684 | 0277-786X | 0 |
PageRank | References | Authors |
0.34 | 0 | 11 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| wakako ichikawa | 1 | 0 | 0.34 |
| Yoshiki Kawata | 2 | 192 | 54.44 |
| Noboru Niki | 3 | 188 | 66.10 |
| Hironobu Ohmatsu | 4 | 138 | 45.23 |
| masahiko kusumoto | 5 | 46 | 16.28 |
| Ryutaro Kakinuma | 6 | 97 | 24.90 |
| Kiyoshi Mori | 7 | 47 | 10.84 |
| hiroyuki nishiyama | 8 | 46 | 11.62 |
| Kenji Eguchi | 9 | 129 | 42.78 |
| Masahiro Kaneko | 10 | 55 | 19.24 |
| Noriyuki Moriyama | 11 | 148 | 50.47 |