Name
Title | ||
|---|---|---|
Liver cancer detection by using transition features obtained from multi-phase CT images |
Abstract | ||
|---|---|---|
This paper presents a method for automated detection of liver cancer regions based on transition of density at each point obtained from multi-phase X-ray CT images. For describing transition of density, two kinds of feature vectors named Density Transition (DT) and Density Change Transition (DCT) are introduced. DCT is used for extraction of cancer candidates and DT is used for suppression of false candidates. In the experiments using 14 real abdominal CT images with cancer, it was shown that the detection rate was 100% and the number of false-positives was 0.71 regions per case. |
Year | DOI | Venue |
|---|---|---|
2005 | 10.1117/12.595085 | PROCEEDINGS OF THE SOCIETY OF PHOTO-OPTICAL INSTRUMENTATION ENGINEERS (SPIE) |
Keywords | Field | DocType |
liver cancer detection,multi-phase X-ray CT images,density transition | Nuclear medicine,Feature vector,Discrete cosine transform,Multi phase,Liver cancer,Computed tomography,Medicine,Cancer | Conference |
Volume | ISSN | Citations |
5747 | 0277-786X | 1 |
PageRank | References | Authors |
0.44 | 0 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Shigeto Watanabe | 1 | 1 | 1.11 |
| Yoshito Mekada | 2 | 115 | 16.08 |
| Jun-ichi Hasegawa | 3 | 221 | 61.17 |
| Jun-ichiro Toriwaki | 4 | 578 | 136.04 |