Effect of a computer-aided diagnosis scheme on radiologists' performance in detection of lung nodules on radiographs.
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Computer-aided diagnosis in medical imaging: historical review, current status and future potentialAnniversary paper: History and status of CAD and quantitative image analysis: the role of Medical Physics and AAPM.Computer-aided diagnosis of lung cancer and pulmonary embolism in computed tomography-a review.Computer-aided detection of prostate cancer on tissue sectionsComputer-aided detection of brain metastasis on 3D MR imaging: Observer performance study.Development and evaluation of a computer-aided diagnostic scheme for lung nodule detection in chest radiographs by means of two-stage nodule enhancement with support vector classification.Automation bias: a systematic review of frequency, effect mediators, and mitigators.Computer-aided nodule detection on digital chest radiography: validation test on consecutive T1 cases of resectable lung cancerCompetency in chest radiography. A comparison of medical students, residents, and fellows.Sensitivity and specificity of a CAD solution for lung nodule detection on chest radiograph with CTA correlation.Influence of study design in receiver operating characteristics studies: sequential versus independent reading.Recent progress in computer-aided diagnosis of lung nodules on thin-section CTCAD techniques, challenges, and controversies in computed tomographic colonography.Computer-aided diagnosis for detection of lacunar infarcts on MR images: ROC analysis of radiologists' performance.Current status and future potential of computer-aided diagnosis in medical imaging.Sample size tables for computer-aided detection studiesDiagnostic Role of Tumour Markers CEA, CA15-3, CA19-9 and CA125 in Lung Cancer.A comparison of computer-aided detection (CAD) effectiveness in pulmonary nodule identification using different methods of bone suppression in chest radiographsAnniversary paper: evaluation of medical imaging systems.Digital chest radiography: an update on modern technology, dose containment and control of image qualityROC analysis in medical imaging: a tutorial review of the literature.Potential clinical impact of advanced imaging and computer-aided diagnosis in chest radiology: importance of radiologist's role and successful observer study.Development of an improved CAD scheme for automated detection of lung nodules in digital chest images.Radiology's Achilles' heel: error and variation in the interpretation of the Röntgen image.Computer-aided diagnostic scheme for lung nodule detection in digital chest radiographs by use of a multiple-template matching technique.Evaluating imaging and computer-aided detection and diagnosis devices at the FDA.The influence of liquid crystal display (LCD) monitors on observer performance for the detection of nodular lesions on chest radiographs.Integration of temporal subtraction and nodule detection system for digital chest radiographs into picture archiving and communication system (PACS): four-year experience.Quantitative kinetic analysis of lung nodules using the temporal subtraction technique in dynamic chest radiographies performed with a flat panel detector.Improvement of bias and generalizability for computer-aided diagnostic schemesQuasi-continuous and discrete confidence rating scales for observer performance studies: Effects on ROC analysisReliable evaluation of performance level for computer-aided diagnostic scheme.Unsupervised segmentation of lung fields in chest radiographs using multiresolution fractal feature vector and deformable models.Automated detection of lung nodules in CT scans: effect of image reconstruction algorithm.Automatic lung segmentation using control feedback system: morphology and texture paradigm.The usefulness of a computer-aided diagnosis scheme for improving the performance of clinicians to diagnose non-mass lesions on breast ultrasonographic images.Improved detection of pulmonary nodules on energy-subtracted chest radiographs with a commercial computer-aided diagnosis software: comparison with human observers.Computer-aided detection in computed tomography colonography: current status and problems with detection of early colorectal cancer.Performance evaluation of radiologists with artificial neural network for differential diagnosis of intra-axial cerebral tumors on MR images.Computerized classification of suspicious regions in chest radiographs using subregion Hotelling observers.
P2860
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P2860
Effect of a computer-aided diagnosis scheme on radiologists' performance in detection of lung nodules on radiographs.
description
1996 nî lūn-bûn
@nan
1996年の論文
@ja
1996年学术文章
@wuu
1996年学术文章
@zh-cn
1996年学术文章
@zh-hans
1996年学术文章
@zh-my
1996年学术文章
@zh-sg
1996年學術文章
@yue
1996年學術文章
@zh
1996年學術文章
@zh-hant
name
Effect of a computer-aided dia ...... f lung nodules on radiographs.
@en
Effect of a computer-aided dia ...... f lung nodules on radiographs.
@nl
type
label
Effect of a computer-aided dia ...... f lung nodules on radiographs.
@en
Effect of a computer-aided dia ...... f lung nodules on radiographs.
@nl
prefLabel
Effect of a computer-aided dia ...... f lung nodules on radiographs.
@en
Effect of a computer-aided dia ...... f lung nodules on radiographs.
@nl
P2093
P1433
P1476
Effect of a computer-aided dia ...... f lung nodules on radiographs.
@en
P2093
P304
P356
10.1148/RADIOLOGY.199.3.8638015
P407
P577
1996-06-01T00:00:00Z