A novel ResNet101 model based on dense dilated convolution for image classification
Abstract Image classification plays an important role in computer vision. The existing convolutional neural network methods have some problems during image classification process, such as low accuracy of tumor classification and poor ability of feature expression and feature extraction. Therefore, w...
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| Format: | Article |
| Language: | English |
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Springer
2021-12-01
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| Series: | SN Applied Sciences |
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| Online Access: | https://doi.org/10.1007/s42452-021-04897-7 |