Classifier design for computer-aided diagnosis: effects of finite sample size on the mean performance of classical and neural network classifiers.
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Anniversary paper: History and status of CAD and quantitative image analysis: the role of Medical Physics and AAPM.Seamless lesion insertion for data augmentation in CAD training.Computer-aided detection system for breast masses on digital tomosynthesis mammograms: preliminary experience.Computer-aided diagnosis of lung cancer and pulmonary embolism in computed tomography-a review.Computer-aided detection of lung nodules: false positive reduction using a 3D gradient field method and 3D ellipsoid fitting.Dynamic multiple thresholding breast boundary detection algorithm for mammograms.Effect of finite sample size on feature selection and classification: a simulation studyComputer-aided diagnosis of pulmonary nodules on CT scans: improvement of classification performance with nodule surface features.Improving Polyp Detection Algorithms for CT Colonography: Pareto Front ApproachPotential of computer-aided diagnosis of high spectral and spatial resolution (HiSS) MRI in the classification of breast lesionsComputer-aided detection; the effect of training databases on detection of subtle breast masses.Region of interest based Hotelling observer for computed tomography with comparison to alternative methods.Pioneers in Medical Imaging: Honoring the Memory of Robert F. WagnerComputer-aided diagnosis for improved detection of lung nodules by use of posterior-anterior and lateral chest radiographsComputer-aided detection systems for breast masses: comparison of performances on full-field digital mammograms and digitized screen-film mammogramsA review of computer-aided diagnosis in thoracic and colonic imaging.A multitarget training method for artificial neural network with application to computer-aided diagnosis.From medical images to multiple-biomarker microarrays.Noise injection for training artificial neural networks: a comparison with weight decay and early stoppingA comparison of resampling schemes for estimating model observer performance with small ensembles.Survey on Neural Networks Used for Medical Image Processing.Mass detection in digital breast tomosynthesis: Deep convolutional neural network with transfer learning from mammography.Analysis of computer-aided detection techniques and signal characteristics for clustered microcalcifications on digital mammography and digital breast tomosynthesis.Performance gain in computer-assisted detection schemes by averaging scores generated from artificial neural networks with adaptive filtering.Evaluating imaging and computer-aided detection and diagnosis devices at the FDA.Toward objective and quantitative evaluation of imaging systems using images of phantoms.Characterization of masses in digital breast tomosynthesis: comparison of machine learning in projection views and reconstructed slicesComputer-aided identification of prostatic adenocarcinoma: Segmentation of glandular structuresEstimation of channelized hotelling observer performance with known class means or known difference of class means.Seamless Insertion of Pulmonary Nodules in Chest CT Images.Exact confidence intervals for channelized Hotelling observer performance in image quality studies.Bladder Cancer Treatment Response Assessment in CT using Radiomics with Deep-Learning.Coronary artery analysis: Computer-assisted selection of best-quality segments in multiple-phase coronary CT angiography.Computer-aided diagnosis systems for lung cancer: challenges and methodologies.Machine Learning in Computer-aided Diagnosis of the Thorax and Colon in CT: A Survey.Classifier performance estimation under the constraint of a finite sample size: resampling schemes applied to neural network classifiers.Classifier performance prediction for computer-aided diagnosis using a limited datasetComputer-aided detection of breast masses: four-view strategy for screening mammographyReliable evaluation of performance level for computer-aided diagnostic scheme.Reliability analysis framework for computer-assisted medical decision systems.
P2860
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P2860
Classifier design for computer-aided diagnosis: effects of finite sample size on the mean performance of classical and neural network classifiers.
description
1999 nî lūn-bûn
@nan
1999年の論文
@ja
1999年学术文章
@wuu
1999年学术文章
@zh-cn
1999年学术文章
@zh-hans
1999年学术文章
@zh-my
1999年学术文章
@zh-sg
1999年學術文章
@yue
1999年學術文章
@zh
1999年學術文章
@zh-hant
name
Classifier design for computer ...... nd neural network classifiers.
@en
Classifier design for computer ...... nd neural network classifiers.
@nl
type
label
Classifier design for computer ...... nd neural network classifiers.
@en
Classifier design for computer ...... nd neural network classifiers.
@nl
prefLabel
Classifier design for computer ...... nd neural network classifiers.
@en
Classifier design for computer ...... nd neural network classifiers.
@nl
P2093
P2860
P356
P1433
P1476
Classifier design for computer ...... nd neural network classifiers.
@en
P2093
P2860
P304
P356
10.1118/1.598805
P407
P577
1999-12-01T00:00:00Z