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Feature selection and classifier performance in computer-aided diagnosis: The effect of finite sample size
In computer-aided diagnosis (CAD), a frequently used approach for distinguishing normal and abnormal cases is first to extract potentially useful features for the classification task. Effective features are then selected from this entire pool of available features. Finally, a classifier is designed...
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| Veröffentlicht in: | Med Phys |
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| Hauptverfasser: | , , , , |
| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
2000
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| Schlagworte: | |
| Online Zugang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5713476/ https://ncbi.nlm.nih.gov/pubmed/10947254 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1118/1.599017 |
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