Name
Title | ||
|---|---|---|
Comprehensive computer-aided diagnosis for breast T1-weighted DCE-MRI through quantitative dynamical features and spatio-temporal local binary patterns. |
Abstract | ||
|---|---|---|
Dynamic contrast enhanced-magnetic resonance imaging (DCE-MRI) is a valid complementary diagnostic method for early detection and diagnosis of breast cancer. However, due to the amount of data, the examination is difficult without the support of a computer-aided detection and diagnosis (CAD) system. Since magnetic resonance imaging data includes different tissues and patient movements (i.e. breath... |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1049/iet-cvi.2018.5273 | IET Computer Vision |
Keywords | Field | DocType |
image segmentation,biomedical MRI,biological organs,medical image processing,cancer,image classification,biological tissues,image motion analysis,feature extraction | CAD,Computer vision,Early detection,Breast cancer,Pattern recognition,Segmentation,Local binary patterns,Computer-aided diagnosis,Artificial intelligence,Stage (cooking),Mathematics,Magnetic resonance imaging | Journal |
Volume | Issue | ISSN |
12 | 7 | 1751-9632 |
Citations | PageRank | References |
1 | 0.38 | 0 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Gabriele Piantadosi | 1 | 10 | 4.33 |
| Stefano Marrone | 2 | 174 | 25.49 |
| Roberta Fusco | 3 | 40 | 6.68 |
| Mario Sansone | 4 | 61 | 9.22 |
| C. Sansone | 5 | 1569 | 94.00 |