Name
Title | ||
|---|---|---|
Realization of High Octave Decomposition for Breast Cancer Feature Extraction on Ultrasound Images. |
Abstract | ||
|---|---|---|
An infiltrative nature on ultrasound images is a significant feature of malignant breast lesion. Characterizing the infiltrative nature with highly efficacious and computationally inexpensive features is crucial for computer-aided diagnosis. The local variance can be characterized by a few high octave energies in the 1-D discrete periodized wavelet transform (DPWT). For the realization of high oct... |
Year | DOI | Venue |
|---|---|---|
2011 | 10.1109/TCSI.2010.2103153 | IEEE Transactions on Circuits and Systems I: Regular Papers |
Keywords | Field | DocType |
Lesions,Breast,Feature extraction,Hardware,Discrete wavelet transforms,Very large scale integration,Cancer | Octave,Computer-aided diagnosis,Feature extraction,Electronic engineering,Very-large-scale integration,Mathematics,Ultrasound,Wavelet,Wavelet transform,Vlsi architecture | Journal |
Volume | Issue | ISSN |
58 | 6 | 1549-8328 |
Citations | PageRank | References |
3 | 0.39 | 30 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Hsieh-Wei Lee | 1 | 12 | 2.29 |
| King-Chu Hung | 2 | 99 | 14.60 |
| Bin-Da Liu | 3 | 12 | 3.39 |
| Sheau-Fang Lei | 4 | 62 | 9.92 |
| Hsin-Wen Ting | 5 | 41 | 8.81 |