Name
Abstract | ||
|---|---|---|
We prove that smoothed particle hydrodynamic (SPH) kernels can be used as edge features in active contours segmentation and probability map can be employed to avoid the evolving contour from leaking into the object of interest. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1186/s12859-019-2625-8 | BMC bioinformatics |
Keywords | Field | DocType |
Dermoscopy,Skin lesion border detection,Skin lesion segmentation | Active contour model,Lesion,Pattern recognition,Skin lesion,Biology,Skin cancer,Boundary detection,Artificial intelligence,Bioinformatics | Journal |
Volume | Issue | ISSN |
20 | Suppl 2 | 1471-2105 |
Citations | PageRank | References |
0 | 0.34 | 15 |
Authors | ||
6 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Mustafa Bayraktar | 1 | 4 | 2.46 |
| Sinan Kockara | 2 | 107 | 11.25 |
| Tansel Halic | 3 | 82 | 13.71 |
| Mutlu Mete | 4 | 217 | 13.91 |
| Henry K. Wong | 5 | 3 | 0.74 |
| Kamran Iqbal | 6 | 55 | 14.96 |