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...
| Published in: | BioMed Research International pp. 1 - 10 |
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| Main Authors: | , , , , |
| Format: | algorithm diagnostic images equations & formulas tables/charts Journal Article |
| Published: |
Wiley-Blackwell
12/16/2020
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| Online Access: | View this record in EBSCOhost |