Name
Title | ||
|---|---|---|
Data mining framework for breast lesion classification in shear wave ultrasound: A hybrid feature paradigm. |
Abstract | ||
|---|---|---|
•Characterization of benign and malignant breast lesions using shear wave images.•Texture features are extracted from discrete wavelet transform coefficients.•Obtained classification sensitivity of 90.41% and specificity of 96.39%.•Breast cancer risk index is proposed to discriminate lesions using one integer. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1016/j.bspc.2016.11.004 | Biomedical Signal Processing and Control |
Keywords | Field | DocType |
Elastography,Shear wave elastography,Benign breast lesions,Malignant breast lesions,Nonlinear features | Computer vision,Ranking,Breast cancer,Pattern recognition,Shear wave elastography,Breast lesion,Discrete wavelet transform,Artificial intelligence,Risk index,Elastography,Mathematics,Ultrasound | Journal |
Volume | ISSN | Citations |
33 | 1746-8094 | 3 |
PageRank | References | Authors |
0.43 | 13 | 9 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Rajendra Acharya U | 1 | 4666 | 296.34 |
| Wei Lin Ng | 2 | 3 | 0.43 |
| Kartini Rahmat | 3 | 6 | 2.49 |
| Vidya Sudarshan | 4 | 208 | 14.19 |
| Joel E. W. Koh | 5 | 266 | 19.06 |
| Jen Hong Tan | 6 | 275 | 12.93 |
| Yuki Hagiwara | 7 | 641 | 29.34 |
| Chai Hong Yeong | 8 | 31 | 3.70 |
| Kwan-Hoong Ng | 9 | 239 | 15.76 |