Volume-based Feature Analysis of Mucosa for Automatic Initial Polyp Detection in Virtual Colonoscopy.
about
ROC operating point selection for classification of imbalanced data with application to computer-aided polyp detection in CT colonography.Improving initial polyp candidate extraction for CT colonography.Increasing computer-aided detection specificity by projection features for CT colonographyComputer-aided detection of colonic polyps with level set-based adaptive convolution in volumetric mucosa to advance CT colonography toward a screening modality.Improved computer-aided detection of small polyps in CT colonography using interpolation for curvature estimation.Improved curvature estimation for computer-aided detection of colonic polyps in CT colonographyAn adaptive paradigm for computer-aided detection of colonic polyps.A Theoretical Solution to MAP-EM Partial Volume Segmentation of Medical Images.3-D shape measurement endoscope using a single-lens system.
P2860
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P2860
Volume-based Feature Analysis of Mucosa for Automatic Initial Polyp Detection in Virtual Colonoscopy.
description
article científic
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article scientifique
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articolo scientifico
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artigo científico
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bilimsel makale
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scientific article published on January 2008
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vedecký článok
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vetenskaplig artikel
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videnskabelig artikel
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vědecký článek
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name
Volume-based Feature Analysis ...... ection in Virtual Colonoscopy.
@en
Volume-based Feature Analysis ...... ection in Virtual Colonoscopy.
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type
label
Volume-based Feature Analysis ...... ection in Virtual Colonoscopy.
@en
Volume-based Feature Analysis ...... ection in Virtual Colonoscopy.
@nl
prefLabel
Volume-based Feature Analysis ...... ection in Virtual Colonoscopy.
@en
Volume-based Feature Analysis ...... ection in Virtual Colonoscopy.
@nl
P2093
P2860
P1476
Volume-based Feature Analysis ...... ection in Virtual Colonoscopy.
@en
P2093
Hongbin Zhu
Hongbing Lu
Zhengrong Liang
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P2888
P304
P356
10.1007/S11548-008-0215-8
P577
2008-01-01T00:00:00Z