about
The importance of the regimen of screening in maximizing the benefit and minimizing the harmsData analysis: evaluation of nanoscale contrast agent enhanced CT scan to differentiate between benign and malignant lung cancer in mouse modelInter-Method Performance Study of Tumor Volumetry Assessment on Computed Tomography Test-Retest Data.Quantitative imaging to assess tumor response to therapy: common themes of measurement, truth data, and error sourcesShape "break-and-repair" strategy and its application to automated medical image segmentationGrowth pattern analysis of murine lung neoplasms by advanced semi-automated quantification of micro-CT images.Research on a pulmonary nodule segmentation method combining fast self-adaptive FCM and classificationPulmonary Nodules: growth rate assessment in patients by using serial CT and three-dimensional volumetry.Lung cancers diagnosed at annual CT screening: volume doubling timesAutomatic weighing attribute to retrieve similar lung cancer nodules.Evaluation of an automatic registration-based algorithm for direct measurement of volume change in tumors.Assessment of Volumetric versus Manual Measurement in Disseminated Testicular Cancer; No Difference in Assessment between Non-Radiologists and Genitourinary RadiologistThe Lung Image Database Consortium (LIDC): a comparison of different size metrics for pulmonary nodule measurementsSegmentation of lung lesions on CT scans using watershed, active contours, and Markov random field.Noncalcified lung nodules: volumetric assessment with thoracic CTPulmonary nodule registration in serial CT scans based on rib anatomy and nodule template matching.Effect of segmentation algorithms on the performance of computerized detection of lung nodules in CT.Computerized segmentation of pulmonary nodules depicted in CT examinations using freehand sketches.Quantitative classification based on CT histogram analysis of non-small cell lung cancer: correlation with histopathological characteristics and recurrence-free survival.Cloud-Based NoSQL Open Database of Pulmonary Nodules for Computer-Aided Lung Cancer Diagnosis and Reproducible Research.Large-scale image region documentation for fully automated image biomarker algorithm development and evaluation.Segmentation of juxtapleural pulmonary nodules using a robust surface estimate.Differential geometry-based techniques for characterization of boundary roughness of pulmonary nodules in CT images.Automated pulmonary nodule CT image characterization in lung cancer screening.Volume estimation of low-contrast lesions with CT: a comparison of performances from a phantom study, simulations and theoretical analysisComputer-aided diagnosis systems for lung cancer: challenges and methodologies.The effect of lung volume on nodule size on CT.A Segmentation Framework of Pulmonary Nodules in Lung CT Images.Comparing algorithms for automated vessel segmentation in computed tomography scans of the lung: the VESSEL12 study.Development and validation of automated 2D-3D bronchial airway matching to track changes in regional bronchial morphology using serial low-dose chest CT scans in children with chronic lung diseasePulmonary nodule volume: effects of reconstruction parameters on automated measurements--a phantom study.Lung nodule malignancy classification using only radiologist-quantified image features as inputs to statistical learning algorithms: probing the Lung Image Database Consortium dataset with two statistical learning methods.Pulmonary nodule classification in lung cancer screening with three-dimensional convolutional neural networks.Automatic lung tumor segmentation with leaks removal in follow-up CT studies.Automated image quality assessment for chest CT scans.Small peripheral lung carcinomas with five-year post-surgical follow-up: assessment by semi-automated volumetric measurement of tumour size, CT value and growth rate on TSCT.Investigation of optimum X-ray beam tube voltage and filtration for chest radiography with a computed radiography system.Segmentation and tracking of lung nodules via graph-cuts incorporating shape prior and motion from 4D CT.Voxel-based comparative analysis of lung lesions in CT for therapeutic purposes.Development and validation of a prediction model for measurement variability of lung nodule volumetry in patients with pulmonary metastases.
P2860
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P2860
description
2006 nî lūn-bûn
@nan
2006年の論文
@ja
2006年学术文章
@wuu
2006年学术文章
@zh
2006年学术文章
@zh-cn
2006年学术文章
@zh-hans
2006年学术文章
@zh-my
2006年学术文章
@zh-sg
2006年學術文章
@yue
2006年學術文章
@zh-hant
name
On measuring the change in size of pulmonary nodules.
@en
On measuring the change in size of pulmonary nodules.
@nl
type
label
On measuring the change in size of pulmonary nodules.
@en
On measuring the change in size of pulmonary nodules.
@nl
prefLabel
On measuring the change in size of pulmonary nodules.
@en
On measuring the change in size of pulmonary nodules.
@nl
P2093
P356
P1476
On measuring the change in size of pulmonary nodules
@en
P2093
Anthony P Reeves
Bryan Kressler
Claudia I Henschke
David F Yankelevitz
William J Kostis
P304
P356
10.1109/TMI.2006.871548
P577
2006-04-01T00:00:00Z