Name
Abstract | ||
|---|---|---|
This paper reports the image processing technique for computer-aided diagnosis of lung cancer by CT(LSCT). LSCT is the newly developed mobile-type CT scanner for the mass screening of lung cancer by our project team. In this new LSCT system, one essential problem is the increase of image information to about 30 slices per person from 1 X-ray film. To solve this difficult problem, we tried to reduce the image information drastically to be displayed for the doctor, by image processing techniques. |
Year | DOI | Venue |
|---|---|---|
1994 | 10.1109/ACV.1996.572061 | WACV '96 Proceedings of the 3rd IEEE Workshop on Applications of Computer Vision (WACV '96) |
Keywords | DocType | ISBN |
difficult problem,lung cancer,computer-aided diagnosis,image processing technique,essential problem,mobile-type ct scanner,image information,mass screening,x-ray film,new lsct system,testing,sections,image processing,computed tomography,mathematical morphology,biomedical imaging | Journal | 0-8186-7620-5 |
Citations | PageRank | References |
4 | 0.76 | 1 |
Authors | ||
6 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Shinji Yamamoto | 1 | 94 | 16.35 |
| Hao Jiang | 2 | 4 | 0.76 |
| Mitsuomi Matsumoto | 3 | 31 | 5.47 |
| Yukio Tateno | 4 | 79 | 14.41 |
| Takeshi Iinuma | 5 | 55 | 8.64 |
| Toru Matsumoto | 6 | 8 | 3.93 |