Breast Cancer Image Multi-Classification Using Random Patch Aggregation and Depth-Wise Convolution based Deep-Net Model
Adapting the profound, deep convolutional neural network models for large image classification can result in the layout of network architectures with a large number of learnable parameters and tuning of those varied parameters can considerably grow the complexity of the model. To address this proble...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
International Association of Online Engineering (IAOE)
2021-01-01
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| Series: | International Journal of Online and Biomedical Engineering |
| Subjects: | |
| Online Access: | https://online-journals.org/index.php/i-joe/article/view/18513 |