Name
Title | ||
|---|---|---|
Integrated Design of Deep Features Fusion for Localization and Classification of Skin Cancer |
Abstract | ||
|---|---|---|
•Biorthogonal 2-D wavelet transform, and Otsu algorithm is used for segmentation.•The deep features of segmented images are extracted using Alex and VGG-16 model.•Extracted features are fused serially and selected optimal features using PCA.•The segmentation results are computed on ISIC 2018 datasets with ground truth.•Combined ISBI 2016, 2017, and PH2 dataset into single dataset for classification. |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1016/j.patrec.2019.11.042 | Pattern Recognition Letters |
Keywords | DocType | Volume |
Cells,Principle component analysis (PCA),Melanoma,Alexnet,VGG-16 | Journal | 131 |
ISSN | Citations | PageRank |
0167-8655 | 4 | 0.43 |
References | Authors | |
0 | 7 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Javeria Amin | 1 | 44 | 3.16 |
| Abida Sharif | 2 | 4 | 0.43 |
| Nadia Gul | 3 | 4 | 0.43 |
| Muhammad Almas Anjum | 4 | 19 | 3.49 |
| Muhammad Wasif Nisar | 5 | 15 | 2.72 |
| Faisal Azam | 6 | 4 | 0.43 |
| Syed Ahmad Chan Bukhari | 7 | 33 | 8.07 |