Name
Title | ||
|---|---|---|
Analysis of tumor vascularity using three-dimensional power Doppler ultrasound images. |
Abstract | ||
|---|---|---|
Tumor vascularity is an important factor that has been shown to correlate with tumor malignancy and was demonstrated as a prognostic indicator for a wide range of cancers. Three-dimensional (3-D) power Doppler ultrasound (PDUS) offers a convenient tool for investigators to inspect the signals of blood flow and vascular structures in breast cancer. In this paper, a new computer-aided diagnosis (CAD... |
Year | DOI | Venue |
|---|---|---|
2008 | 10.1109/TMI.2007.904665 | IEEE Transactions on Medical Imaging |
Keywords | Field | DocType |
Image analysis,Ultrasonic imaging,Cancer,Breast neoplasms,Neural networks,Data mining,Blood vessels,Biomedical imaging,Breast tumors,Blood flow | Positive predicative value,Blood flow,Breast cancer,Medical imaging,Computer-aided diagnosis,Vascularity,Malignancy,Radiology,Mathematics,3D ultrasound | Journal |
Volume | Issue | ISSN |
27 | 3 | 0278-0062 |
Citations | PageRank | References |
8 | 0.68 | 4 |
Authors | ||
6 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Sheng-Fang Huang | 1 | 27 | 3.11 |
| Ruey-Feng Chang | 2 | 395 | 34.88 |
| Woo Kyung Moon | 3 | 299 | 19.46 |
| Yu-Hau Lee | 4 | 8 | 0.68 |
| Dar-Ren Chen | 5 | 52 | 5.14 |
| Jasjit S. Suri | 6 | 1754 | 128.89 |