Patient-specific models for lung nodule detection and surveillance in CT images.
about
Quantifying tumour heterogeneity with CTAnniversary paper: History and status of CAD and quantitative image analysis: the role of Medical Physics and AAPM.Applying an Instance-specific Model to Longitudinal Clinical Data for Prediction.A differential geometric approach to automated segmentation of human airway treeComputer-aided diagnosis of lung cancer and pulmonary embolism in computed tomography-a review.A Computational geometry approach to automated pulmonary fissure segmentation in CT examinations.Pulmonary lobe segmentation in CT examinations using implicit surface fitting.Texture analysis of non-small cell lung cancer on unenhanced computed tomography: initial evidence for a relationship with tumour glucose metabolism and stage.Potential lung nodules identification for characterization by variable multistep threshold and shape indices from CT imagesRecent progress in computer-aided diagnosis of lung nodules on thin-section CTCurrent status and future potential of computer-aided diagnosis in medical imaging.Pulmonary fissure segmentation on CTFuzzy Clustering Applied to ROI Detection in Helical Thoracic CT Scans with a New Proposal and Variants.An architecture for computer-aided detection and radiologic measurement of lung nodules in clinical trials.An automated CT based lung nodule detection scheme using geometric analysis of signed distance fieldComputer-aided diagnosis of pulmonary nodules on CT scans: segmentation and classification using 3D active contoursComputer-aided detection system for lung cancer in computed tomography scans: review and future prospectsAutomatic Detection of 2D and 3D Lung Nodules in Chest Spiral CT ScansAssessment of prior image induced nonlocal means regularization for low-dose CT reconstruction: Change in anatomy.Computer-aided diagnosis systems for lung cancer: challenges and methodologies.Computerized detection of lung nodules in thin-section CT images by use of selective enhancement filters and an automated rule-based classifier.Nodule detection in a lung region that's segmented with using genetic cellular neural networks and 3D template matching with fuzzy rule based thresholding.Impact of image quality, radiologists, lung segments, and Gunnar eyewear on detectability of lung nodules in chest CT.Automatic lung tumor segmentation with leaks removal in follow-up CT studies.Investigation of new psychophysical measures for evaluation of similar images on thoracic computed tomography for distinction between benign and malignant nodules.Automated lung nodule classification following automated nodule detection on CT: a serial approach.Automated detection of lung nodules in CT scans: effect of image reconstruction algorithm.Registration of lung nodules using a semi-rigid model: method and preliminary results.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.Lung metastases detection in CT images using 3D template matching.Improved quantitation for PET/CT image reconstruction with system modeling and anatomical priors.Automatic detection of small lung nodules on CT utilizing a local density maximum algorithm.Toward clinically usable CAD for lung cancer screening with computed tomography.Evaluation of an automated system for temporal subtraction of thin-section thoracic CT.Selective enhancement filters for nodules, vessels, and airway walls in two- and three-dimensional CT scans.Image descriptors in radiology images: a systematic review
P2860
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P2860
Patient-specific models for lung nodule detection and surveillance in CT images.
description
2001 nî lūn-bûn
@nan
2001年の論文
@ja
2001年学术文章
@wuu
2001年学术文章
@zh
2001年学术文章
@zh-cn
2001年学术文章
@zh-hans
2001年学术文章
@zh-my
2001年学术文章
@zh-sg
2001年學術文章
@yue
2001年學術文章
@zh-hant
name
Patient-specific models for lung nodule detection and surveillance in CT images.
@en
Patient-specific models for lung nodule detection and surveillance in CT images.
@nl
type
label
Patient-specific models for lung nodule detection and surveillance in CT images.
@en
Patient-specific models for lung nodule detection and surveillance in CT images.
@nl
prefLabel
Patient-specific models for lung nodule detection and surveillance in CT images.
@en
Patient-specific models for lung nodule detection and surveillance in CT images.
@nl
P2093
P50
P356
P1476
Patient-specific models for lung nodule detection and surveillance in CT images
@en
P2093
P304
P356
10.1109/42.974919
P577
2001-12-01T00:00:00Z