Name
Title | ||
|---|---|---|
Two-step evidential fusion approach for accurate breast region segmentation in mammograms. |
Abstract | ||
|---|---|---|
In mammograms, the breast skin line often appears ambiguous and poorly defined. This is mainly due to the breast organ compression during the image acquisition process along with the inherent low density of the tissue in that area. The accurate delimitation of the breast region becomes a challenging task to conventional segmentation techniques. In this study, the authors propose a new segmentation... |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1049/iet-ipr.2018.5325 | IET Image Processing |
Keywords | Field | DocType |
image fusion,image segmentation,iterative methods,mammography,medical image processing | Computer vision,Iterative and incremental development,Pattern recognition,Segmentation,Fusion,Artificial intelligence,Formalism (philosophy),Decision quality,Ambiguity,Mathematics,Low density | Journal |
Volume | Issue | ISSN |
12 | 11 | 1751-9659 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Rihab Lajili | 1 | 0 | 0.34 |
| Karim Kalti | 2 | 20 | 8.58 |
| Asma Touil | 3 | 2 | 1.43 |
| Basel Solaiman | 4 | 127 | 35.05 |
| Najoua Essoukri Ben Amara | 5 | 209 | 41.48 |