Name
Abstract | ||
|---|---|---|
•A novel approach based on structural co-occurrence matrix is used to classify skin lesions in dermatoscopy images.•An extensive comparative analysis in terms of performance measures is carried out with the conventional approaches.•The proposed methodology is tested with three different datasets to validate the efficiency of the approach. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1016/j.compmedimag.2018.05.004 | Computerized Medical Imaging and Graphics |
Keywords | Field | DocType |
Structural co-occurrence matrix,Image classification,Melanoma,Machine learning | Computer vision,F1 score,Skin lesion,Harmonic mean,Local binary patterns,Skin cancer,Extractor,Artificial intelligence,Medicine | Journal |
Volume | ISSN | Citations |
68 | 0895-6111 | 4 |
PageRank | References | Authors |
0.40 | 21 | 7 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Pedro Pedrosa Rebouças Filho | 1 | 172 | 27.88 |
| Solon Alves Peixoto | 2 | 13 | 2.64 |
| Raul Victor Medeiros da Nobrega | 3 | 19 | 1.79 |
| D. Jude Hemanth | 4 | 119 | 22.74 |
| Aldisio G. Medeiros | 5 | 5 | 1.42 |
| Arun Kumar | 6 | 1427 | 132.32 |
| Victor Hugo C. de Albuquerque | 7 | 914 | 83.30 |