Computerized detection of lung nodules in thin-section CT images by use of selective enhancement filters and an automated rule-based classifier.
about
Objective breast tissue image classification using Quantitative Transmission ultrasound tomographyMorphology filter bank for extracting nodular and linear patterns in medical images.Evaluation of computer-aided detection and diagnosis systems.A computerized scheme for lung nodule detection in multiprojection chest radiographyLung nodule and cancer detection in computed tomography screening.Auto Diagnostics of Lung Nodules Using Minimal Characteristics Extraction Technique.A nonparametric procedure for comparing the areas under correlated LROC curvesDetection of pulmonary nodules in CT images based on fuzzy integrated active contour model and hybrid parametric mixture model.Pulmonary Nodule Detection Model Based on SVM and CT Image Feature-Level Fusion with Rough SetsEvaluation of Semi-automatic Segmentation Methods for Persistent Ground Glass Nodules on Thin-Section CT ScansEffect of segmentation algorithms on the performance of computerized detection of lung nodules in CT.Potential clinical impact of advanced imaging and computer-aided diagnosis in chest radiology: importance of radiologist's role and successful observer study.A unified methodology based on sparse field level sets and boosting algorithms for false positives reduction in lung nodules detection.Hybrid Discrete Wavelet Transform and Gabor Filter Banks Processing for Features Extraction from Biomedical ImagesAdhesion Pulmonary Nodules Detection Based on Dot-Filter and Extracting Centerline Algorithm.Automated segmentation of lungs with severe interstitial lung disease in CT.High performance lung nodule detection schemes in CT using local and global informationHybrid method for the detection of pulmonary nodules using positron emission tomography/computed tomography: a preliminary study.A new idea for visualization of lesions distribution in mammogram based on CPD registration method.Computerized detection of lung nodules through radiomics.Shape and texture based novel features for automated juxtapleural nodule detection in lung CTs.A novel computer-aided lung nodule detection system for CT images.Image analysis of small pulmonary nodules identified by computed tomography.Performance of ultralow-dose CT with iterative reconstruction in lung cancer screening: limiting radiation exposure to the equivalent of conventional chest X-ray imaging.Computer-aided detection of lung nodules via 3D fast radial transform, scale space representation, and Zernike MIP classification.Object-based analysis of CT images for automatic detection and segmentation of hypodense liver lesions.Computed tomographic characteristics of interval and post screen carcinomas in lung cancer screening.Fast lung nodule detection in chest CT images using cylindrical nodule-enhancement filter.
P2860
Q30831446-74509F87-90C5-42AA-9C49-84FF3F31C50DQ33458758-169DB994-51E1-433C-B46E-AE0413F5574FQ33941168-2248BF11-7474-4D14-AB2D-50BA38A49407Q35874636-2DBFC599-2CBE-4ED8-821D-CE4FF020AE5FQ36303690-211E97FB-A869-4194-A95E-5B55CD9A9DB4Q36731923-F4F68EBC-1B93-443F-9C67-C2F9D4937C2EQ36746611-50825620-DCBC-4E4A-AF6A-603A2920E87BQ36838645-F90D764C-E199-42F7-BA9A-5EAA8CF5D9E0Q37303470-44C39504-0464-4B55-8AF5-FD67E550869BQ37424612-D0F54F2F-2588-4216-966B-95C0050E0428Q37490129-0B2A3FED-C305-4DB6-B18E-B16431BF32EFQ38485083-3E991D5A-6954-4660-A318-32A008BB8553Q38631127-EA462B4F-1758-4449-A2D5-039BF29C0EA3Q38840541-F4DAEA3D-8948-4A83-A913-9D132D3A100EQ40821052-955AE723-0FE7-4A8B-966E-FB721D16C5FEQ42608807-B128B1CE-7AF0-4E77-95FC-8EE75D9BB154Q42745629-45C16FA0-A0EC-4A17-BE24-A814326B8C60Q45248945-191E4173-BFEC-4F39-90F0-5EA8456F9179Q50852071-B578C8AA-35E6-41B1-9202-5AE30B7B7E2BQ50879740-19A3673B-7FBF-42BC-B1D6-C87E1A184A00Q50953056-F4BE8F9E-A2EF-4F92-B85B-2E9244B8B947Q51001052-371588BA-411D-44A2-A8DF-9B58547C756EQ51172513-2670D498-613B-44A6-9025-E34D75A5755EQ51545751-F2327B40-8B9B-4F6B-9EB2-6F7A26ECADB3Q51563183-61A2DC20-CB79-44DC-AC1F-2B5B202BCCF2Q51576092-52B48FCB-600A-4482-B45D-DB2EC16D0716Q53053006-EEF3D6FD-0012-46FA-A0FA-8A26B282FED0Q53157477-D33E60A2-232A-46E3-BE72-960CE5F8EE04
P2860
Computerized detection of lung nodules in thin-section CT images by use of selective enhancement filters and an automated rule-based classifier.
description
2008 nî lūn-bûn
@nan
2008年の論文
@ja
2008年論文
@yue
2008年論文
@zh-hant
2008年論文
@zh-hk
2008年論文
@zh-mo
2008年論文
@zh-tw
2008年论文
@wuu
2008年论文
@zh
2008年论文
@zh-cn
name
Computerized detection of lung ...... tomated rule-based classifier.
@en
type
label
Computerized detection of lung ...... tomated rule-based classifier.
@en
prefLabel
Computerized detection of lung ...... tomated rule-based classifier.
@en
P2093
P2860
P1433
P1476
Computerized detection of lung ...... tomated rule-based classifier.
@en
P2093
P2860
P304
P356
10.1016/J.ACRA.2007.09.018
P577
2008-02-01T00:00:00Z