Name
Abstract | ||
|---|---|---|
In this paper, we report the image processing technique for computer-aided diagnosis of lung cancer screening system 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 be diagnosed by a doctor to about 30 slices per patient from 1 X-ray film. To solve this difficult problem, we are trying to reduce the image information drastically to be displayed for the doctor by image processing techniques. We propose a new method named Variable New-Quoit filter for the automatic recognition of the pathological shadow candidates. Our computer aided diagnosis (CAD) system can satisfactorily reduce the number of CT cross sections by this method, containing the abnormal shadow candidates. |
Year | DOI | Venue |
|---|---|---|
1998 | 10.1109/ICPR.1998.712041 | ICPR |
Keywords | Field | DocType |
chest ct images,ct cross section,mobile-type ct scanner,automatic detection,lung cancers,abnormal shadow candidate,difficult problem,computer-aided diagnosis,image processing technique,essential problem,image information,variable n-quoit filter,lung cancer screening system,new lsct system,cross section,computed tomography,cancer,biomedical imaging | CAD,Lung cancer,Computer vision,Lung,Lung cancer screening,Computer science,Medical imaging,Computer-aided diagnosis,Image processing,Scanner,Artificial intelligence | Conference |
ISSN | ISBN | Citations |
1051-4651 | 0-8186-8512-3-2 | 4 |
PageRank | References | Authors |
0.70 | 3 | 8 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| tomoyuki okumura | 1 | 4 | 0.70 |
| takashi miwa | 2 | 4 | 0.70 |
| junichi kako | 3 | 4 | 0.70 |
| Shinji Yamamoto | 4 | 16 | 3.55 |
| r matsumoto | 5 | 4 | 0.70 |
| Yukio Tateno | 6 | 79 | 14.41 |
| Takeshi Iinuma | 7 | 55 | 8.64 |
| tadashi matsumoto | 8 | 35 | 5.30 |