Name
Abstract | ||
|---|---|---|
•Using 3-D Gradient vector flow for automatic tumor segmentation.•The proposed feature sets, morphology and elastography, can increase the classification accuracy.•Our CAD quantifies 3-D US image features to provide a promising diagnostic suggestion. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1016/j.cmpb.2017.10.021 | Computer Methods and Programs in Biomedicine |
Keywords | Field | DocType |
Elastography,Diagnosis,Breast,Shape,Ellipsoid | Elasticity Imaging Techniques,Breast cancer,Computer-aided,Segmentation,Radiology,Area under the roc curve,Elastography,Medicine,Ultrasound | Journal |
Volume | Issue | ISSN |
153 | C | 0169-2607 |
Citations | PageRank | References |
0 | 0.34 | 3 |
Authors | ||
6 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yao-Sian Huang | 1 | 10 | 1.61 |
| Etsuo Takada | 2 | 0 | 0.34 |
| Sachiyo Konno | 3 | 0 | 0.34 |
| Chiun-Sheng Huang | 4 | 153 | 9.33 |
| Ming-Hao Kuo | 5 | 0 | 0.34 |
| Ruey-Feng Chang | 6 | 395 | 34.88 |