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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...
שמור ב:
| הוצא לאור ב: | Biomed Res Int |
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| Main Authors: | , , , , |
| פורמט: | Artigo |
| שפה: | Inglês |
| יצא לאור: |
Hindawi
2020
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| נושאים: | |
| גישה מקוונת: | 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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