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Classifier performance prediction for computer-aided diagnosis using a limited dataset

In a practical classifier design problem, the true population is generally unknown and the available sample is finite-sized. A common approach is to use a resampling technique to estimate the performance of the classifier that will be trained with the available sample. We conducted a Monte Carlo sim...

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Bibliografiske detaljer
Main Authors: Sahiner, Berkman, Chan, Heang-Ping, Hadjiiski, Lubomir
Format: Artigo
Sprog:Inglês
Udgivet: American Association of Physicists in Medicine 2008
Fag:
Online adgang:https://ncbi.nlm.nih.gov/pmc/articles/PMC2811557/
https://ncbi.nlm.nih.gov/pubmed/18491550
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1118/1.2868757
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