Name
Title | ||
|---|---|---|
Semi-automatic segmentation of skin lesions based on superpixels and hybrid texture information |
Abstract | ||
|---|---|---|
•A semi-automatic segmentation method for dermoscopic image is proposed.•Related state-of-art is reviewed.•Five public image datasets are used in the experiments;•The results obtained by the proposed methods are very promising.•The results confirm the high robustness of the proposed method. |
Year | DOI | Venue |
|---|---|---|
2022 | 10.1016/j.media.2022.102363 | Medical Image Analysis |
Keywords | DocType | Volume |
41A05,41A10,65D05,65D17,Texture information,Computer-aided diagnosis,Melanoma,Dermatoscopic image segmentation | Journal | 77 |
ISSN | Citations | PageRank |
1361-8415 | 0 | 0.34 |
References | Authors | |
0 | 7 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Elineide S Dos Santos | 1 | 0 | 0.34 |
| Rodrigo de M S Veras | 2 | 0 | 0.34 |
| Kelson R T Aires | 3 | 0 | 0.34 |
| Helano M B F Portela | 4 | 0 | 0.34 |
| Geraldo Braz Junior | 5 | 0 | 0.34 |
| Justino D Santos | 6 | 0 | 0.34 |
| João Manuel R. S. Tavares | 7 | 603 | 62.85 |