Name
Title | ||
|---|---|---|
A new approach for classification skin lesion based on transfer learning, deep learning, and IoT system. |
Abstract | ||
|---|---|---|
•Twelve extractions and seven classifications for the diagnosis of skin lesions.•Convolution neural networks as features extractors.•The use of a consolidated IoT system to perform different experiments. |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1016/j.patrec.2020.05.019 | Pattern Recognition Letters |
Keywords | DocType | Volume |
Skin lesion,Transfer learning,CNN,Internet of things | Journal | 136 |
ISSN | Citations | PageRank |
0167-8655 | 2 | 0.39 |
References | Authors | |
0 | 6 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Douglas de A Rodrigues | 1 | 2 | 0.72 |
| Roberto F Ivo | 2 | 2 | 0.72 |
| Suresh Chandra Satapathy | 3 | 224 | 31.09 |
| Shuihua Wang | 4 | 1564 | 87.49 |
| D. Jude Hemanth | 5 | 119 | 22.74 |
| Pedro Pedrosa Rebouças Filho | 6 | 172 | 27.88 |