Reduction of bias and variance for evaluation of computer-aided diagnostic schemes.
about
Optimization of reference library used in content-based medical image retrieval scheme.Computer-Aided Diagnosis in Mammography Using Content-based Image Retrieval Approaches: Current Status and Future PerspectivesAssociation between computed tissue density asymmetry in bilateral mammograms and near-term breast cancer riskComputerized detection of breast tissue asymmetry depicted on bilateral mammograms: a preliminary study of breast risk stratificationA GMM-based breast cancer risk stratification using a resonance-frequency electrical impedance spectroscopy.A new quantitative image analysis method for improving breast cancer diagnosis using DCE-MRI examinationsMassive-training support vector regression and Gaussian process for false-positive reduction in computer-aided detection of polyps in CT colonographyDistributed human intelligence for colonic polyp classification in computer-aided detection for CT colonography.Recent progress in computer-aided diagnosis of lung nodules on thin-section CTApplying a computer-aided scheme to detect a new radiographic image marker for prediction of chemotherapy outcome.Computer-aided breast MR image feature analysis for prediction of tumor response to chemotherapyMultimodality computer-aided breast cancer diagnosis with FFDM and DCE-MRI.Training neural network classifiers for medical decision making: the effects of imbalanced datasets on classification performance.Automated identification of analyzable metaphase chromosomes depicted on microscopic digital images.Quantitative measurement of adiposity using CT images to predict the benefit of bevacizumab-based chemotherapy in epithelial ovarian cancer patientsSupervised pattern recognition for the prediction of contrast-enhancement appearance in brain tumors from multivariate magnetic resonance imaging and spectroscopy.Automated classification of metaphase chromosomes: optimization of an adaptive computerized schemeDetection of breast abnormalities using a prototype resonance electrical impedance spectroscopy system: a preliminary study.Improvement of bias and generalizability for computer-aided diagnostic schemesReliable evaluation of performance level for computer-aided diagnostic scheme.Applying a new quantitative global breast MRI feature analysis scheme to assess tumor response to chemotherapy.Prediction of breast cancer risk using a machine learning approach embedded with a locality preserving projection algorithm.Assessment of global and local region-based bilateral mammographic feature asymmetry to predict short-term breast cancer risk.Applying a new bilateral mammographic density segmentation method to improve accuracy of breast cancer risk prediction.Improving lung cancer prognosis assessment by incorporating synthetic minority oversampling technique and score fusion method.Comparison of typical evaluation methods for computer-aided diagnostic schemes: Monte Carlo simulation study.Applying a new computer-aided detection scheme generated imaging marker to predict short-term breast cancer risk.
P2860
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P2860
Reduction of bias and variance for evaluation of computer-aided diagnostic schemes.
description
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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2006年学术文章
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2006年学术文章
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2006年学术文章
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2006年学术文章
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2006年学术文章
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2006年學術文章
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name
Reduction of bias and variance for evaluation of computer-aided diagnostic schemes.
@en
Reduction of bias and variance for evaluation of computer-aided diagnostic schemes.
@nl
type
label
Reduction of bias and variance for evaluation of computer-aided diagnostic schemes.
@en
Reduction of bias and variance for evaluation of computer-aided diagnostic schemes.
@nl
prefLabel
Reduction of bias and variance for evaluation of computer-aided diagnostic schemes.
@en
Reduction of bias and variance for evaluation of computer-aided diagnostic schemes.
@nl
P2860
P356
P1433
P1476
Reduction of bias and variance for evaluation of computer-aided diagnostic schemes.
@en
P2093
P2860
P304
P356
10.1118/1.2179750
P407
P577
2006-04-01T00:00:00Z