Reduction of false positives in lung nodule detection using a two-level neural classification.
about
Pixel-based machine learning in medical imaging.Recent progress in computer-aided diagnosis of lung nodules on thin-section CTComputer-aided detection system for lung cancer in computed tomography scans: review and future prospectsOverview of deep learning in medical imaging.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.Fuzzy-C-Means Clustering Based Segmentation and CNN-Classification for Accurate Segmentation of Lung NodulesPrediction of lung tumor types based on protein attributes by machine learning algorithms.Detection of Pulmonary Nodules in Low-dose Computed Tomography Using Localized Active Contours and Shape Features.Projection profile analysis for automated detection of abnormalities in chest radiographs.Computer-aided diagnoses: automatic detection of lung nodules.
P2860
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P2860
Reduction of false positives in lung nodule detection using a two-level neural classification.
description
1996 nî lūn-bûn
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1996年の論文
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1996年学术文章
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1996年学术文章
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1996年学术文章
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1996年学术文章
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name
Reduction of false positives i ...... o-level neural classification.
@en
Reduction of false positives i ...... o-level neural classification.
@nl
type
label
Reduction of false positives i ...... o-level neural classification.
@en
Reduction of false positives i ...... o-level neural classification.
@nl
prefLabel
Reduction of false positives i ...... o-level neural classification.
@en
Reduction of false positives i ...... o-level neural classification.
@nl
P2093
P356
P1476
Reduction of false positives i ...... o-level neural classification.
@en
P2093
P304
P356
10.1109/42.491422
P577
1996-01-01T00:00:00Z