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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...
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| 發表在: | Biomed Res Int |
|---|---|
| Main Authors: | , , , , |
| 格式: | Artigo |
| 語言: | Inglês |
| 出版: |
Hindawi
2020
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| 主題: | |
| 在線閱讀: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7787714/ https://ncbi.nlm.nih.gov/pubmed/33490248 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1155/2020/6636321 |
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