Name
Title | ||
|---|---|---|
A novel deep learning based framework for the detection and classification of breast cancer using transfer learning |
Abstract | ||
|---|---|---|
•A deep learning-based framework is proposed for the classification of breast cancer in breast cytology images.•Three different deep learning architectures (GoogLeNet, VGGNet, and ResNet) have been analysed.•The proposed framework gives a high level of accuracy in the classification of breast cancer. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1016/j.patrec.2019.03.022 | Pattern Recognition Letters |
Keywords | Field | DocType |
Deep learning,Smart pattern recognition,Transfer learning,Breast cancer | Residual,Data set,Breast tumor,Breast cancer,Pattern recognition,Transfer of learning,Pooling,Artificial intelligence,Deep learning,Residual neural network,Mathematics | Journal |
Volume | ISSN | Citations |
125 | 0167-8655 | 21 |
PageRank | References | Authors |
0.85 | 0 | 6 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| SanaUllah Khan | 1 | 21 | 0.85 |
| Naveed Islam | 2 | 37 | 6.58 |
| Zahoor Jan | 3 | 104 | 6.78 |
| Ikram Ud Din | 4 | 79 | 16.80 |
| JOEL J. P. C. RODRIGUES | 5 | 3484 | 341.72 |
| JOEL J. P. C. RODRIGUES | 6 | 3484 | 341.72 |