Name
Abstract | ||
|---|---|---|
This paper describes a method for detecting small nodules from three-dimensional chest X-ray CT images. The proposed method consists of two submodules: (a) initial detection of nodule candidates using shape features of lung nodules and (b) reduction process of false positive regions using a minimum directional difference filter called Min-DD from the initial candidates. The performance of the proposed method was evaluated by using six cases of chest X-ray CT images including five abnormal cases where multiple lung cancers are observed. The experimental results showed that sensitivity and FP regions are 71% and 7.4 regions in average per case for nodules of 2 mm in diameter (361 regions in total). (C) 2003 Published by Elsevier Science B.V. |
Year | DOI | Venue |
|---|---|---|
2003 | 10.1016/S0531-5131(03)00462-X | CARS 2003: COMPUTER ASSISTED RADIOLOGY AND SURGERY, PROCEEDINGS |
Keywords | Field | DocType |
3D chest X-ray CT image, small nodule, maximum distance inside connected component, minimum directional difference filter | Nuclear medicine,X-ray,Radiology,Medicine | Conference |
Volume | ISSN | Citations |
1256 | 0531-5131 | 6 |
PageRank | References | Authors |
0.46 | 4 | 8 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yoshito Mekada | 1 | 115 | 16.08 |
| Takashi Kusanagi | 2 | 9 | 0.92 |
| Yousuke Hayase | 3 | 6 | 0.46 |
| Kensaku Mori | 4 | 1125 | 160.28 |
| Jun-ichi Hasegawa | 5 | 221 | 61.17 |
| Jun-ichiro Toriwaki | 6 | 578 | 136.04 |
| Masaki Mori | 7 | 144 | 17.48 |
| Hiroshi Natori | 8 | 220 | 28.49 |