Analysis and minimization of overtraining effect in rule-based classifiers for computer-aided diagnosis.
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Anniversary paper: History and status of CAD and quantitative image analysis: the role of Medical Physics and AAPM.Effect of finite sample size on feature selection and classification: a simulation studyTowards a user-friendly brain-computer interface: initial tests in ALS and PLS patients.Computerized prediction of risk for developing breast cancer based on bilateral mammographic breast tissue asymmetry.A computerized scheme for lung nodule detection in multiprojection chest radiographyRecent progress in computer-aided diagnosis of lung nodules on thin-section CTSpatial detection of multiple movement intentions from SAM-filtered single-trial MEG signals.Improvement of bias and generalizability for computer-aided diagnostic schemesComputerized detection of lung nodules in thin-section CT images by use of selective enhancement filters and an automated rule-based classifier.High performance lung nodule detection schemes in CT using local and global informationReduction of bias and variance for evaluation of computer-aided diagnostic schemes.
P2860
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P2860
Analysis and minimization of overtraining effect in rule-based classifiers for computer-aided diagnosis.
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2006 nî lūn-bûn
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2006年の論文
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2006年学术文章
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name
Analysis and minimization of o ...... for computer-aided diagnosis.
@en
Analysis and minimization of o ...... for computer-aided diagnosis.
@nl
type
label
Analysis and minimization of o ...... for computer-aided diagnosis.
@en
Analysis and minimization of o ...... for computer-aided diagnosis.
@nl
prefLabel
Analysis and minimization of o ...... for computer-aided diagnosis.
@en
Analysis and minimization of o ...... for computer-aided diagnosis.
@nl
P2860
P356
P1433
P1476
Analysis and minimization of o ...... for computer-aided diagnosis.
@en
P2093
P2860
P304
P356
10.1118/1.1999126
P407
P577
2006-02-01T00:00:00Z