Name
Abstract | ||
|---|---|---|
Lung Cancer is known as one of the most difficult cancers to cure. The detection of lung cancer in its early stage can be helpful for medical treatment to danger. However, mass screening based on helical CT images brings a considerable number of images to diagnosis, the time-consuming fact makes it difficult to be used in the clinic. To increase the efficiency of the mass screening process; we developed a Computer-aided diagnosis (CAD) system, which can detect nodules at high speed. It takes 17 seconds per case (35 images) to detect nodules. In this paper, we describe the development of this CAD system and specifications. |
Year | DOI | Venue |
|---|---|---|
2004 | 10.1117/12.483546 | Proceedings of SPIE |
Keywords | Field | DocType |
helical CT,CT image,lung cancer,CAD,comparative reading | CAD,Lung cancer,Lung cancer screening,Computer-aided diagnosis,Medical treatment,Medical physics,Cad system,Medical diagnostics,Radiology,Medicine,Cancer | Conference |
Volume | ISSN | Citations |
5032 | 0277-786X | 1 |
PageRank | References | Authors |
0.48 | 0 | 13 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yuya Takeda | 1 | 1 | 1.16 |
| masatsugu tamaru | 2 | 1 | 0.48 |
| Yoshiki Kawata | 3 | 192 | 54.44 |
| Mitsuru Kubo | 4 | 89 | 22.51 |
| Noboru Niki | 5 | 188 | 66.10 |
| Hironobu Ohmatsu | 6 | 138 | 45.23 |
| Ryutaro Kakinuma | 7 | 97 | 24.90 |
| Masahiro Kaneko | 8 | 55 | 19.24 |
| masahiro kusumoto | 9 | 10 | 2.93 |
| Kenji Eguchi | 10 | 129 | 42.78 |
| Noriyuki Moriyama | 11 | 148 | 50.47 |
| Kiyoshi Mori | 12 | 47 | 10.84 |
| hiroyuki nishiyama | 13 | 46 | 11.62 |