NSCR-Based DenseNet for Lung Tumor Recognition Using Chest CT Image
Nonnegative sparse representation has become a popular methodology in medical analysis and diagnosis in recent years. In order to resolve network degradation, higher dimensionality in feature extraction, data redundancy, and other issues faced when medical images parameters are trained using convolu...
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Hindawi Limited
2020-01-01
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| Series: | BioMed Research International |
| Online Access: | http://dx.doi.org/10.1155/2020/6636321 |