Name
Title | ||
|---|---|---|
Enhancing deep convolutional neural network scheme for breast cancer diagnosis with unlabeled data. |
Abstract | ||
|---|---|---|
•A large number of unlabeled data can be used in this scheme.•This scheme can use unlabeled data for deep learning algorithms.•Convolutional neural network was used in breast cancer diagnosis.•Our system has good performance with the majority of unlabeled data. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1016/j.compmedimag.2016.07.004 | Computerized Medical Imaging and Graphics |
Keywords | Field | DocType |
Semi-supervised learning,Deep learning,Computer aided diagnosis,Convolutional neural network,Unlabeled data | Computer vision,Mammography,Semi-supervised learning,Feature selection,Pattern recognition,Breast cancer,Convolutional neural network,Computer science,Data labeling,Computer-aided diagnosis,Artificial intelligence,Deep learning | Journal |
Volume | ISSN | Citations |
57 | 0895-6111 | 24 |
PageRank | References | Authors |
0.88 | 14 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Wenqing Sun | 1 | 78 | 7.60 |
| Tzu-Liang (Bill) Tseng | 2 | 187 | 14.96 |
| Jianying Zhang | 3 | 45 | 3.00 |
| W. Qian | 4 | 155 | 22.21 |