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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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Bibliographische Detailangaben
Veröffentlicht in:Med Phys
Hauptverfasser: Sahiner, Berkman, Chan, Heang-Ping, Petrick, Nicholas, Wagner, Robert F., Hadjiiski, Lubomir
Format: Artigo
Sprache:Inglês
Veröffentlicht: 2000
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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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