Maximum likelihood analysis of free-response receiver operating characteristic (FROC) data.
about
The identification of complete domains within protein sequences using accurate E-values for semi-global alignmentA brief history of free-response receiver operating characteristic paradigm data analysisSubject-centered free-response ROC (FROC) analysis.On comparing methods for discriminating between actually negative and actually positive subjects with FROC type dataA search model and figure of merit for observer data acquired according to the free-response paradigm.Spatial localization accuracy of radiologists in free-response studies: Inferring perceptual FROC curves from mark-rating data.Consistency of methods for analysing location-specific dataCluster size statistic and cluster mass statistic: two novel methods for identifying changes in functional connectivity between groups or conditionsA status report on free-response analysis.Biplane correlation imaging: a feasibility study based on phantom and human data.Evaluation of computer-aided detection and diagnosis systems.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.A random-sum Wilcoxon statistic and its application to analysis of ROC and LROC dataA perceptual evaluation of JPEG 2000 image compression for digital mammography: contrast-detail characteristics.New developments in observer performance methodology in medical imagingObserver performance for adaptive, image-based denoising and filtered back projection compared to scanner-based iterative reconstruction for lower dose CT enterography.Computer-aided detection scheme for sentinel lymph nodes in lymphoscintigrams using symmetrical property around mapped injection point.Computer-aided diagnosis for improved detection of lung nodules by use of posterior-anterior and lateral chest radiographsObserver Performance in the Detection and Classification of Malignant Hepatic Nodules and Masses with CT Image-Space Denoising and Iterative ReconstructionEvaluating computer-aided detection algorithms.Pulmonary Embolism Detection with Three-dimensional Ultrashort Echo Time MR Imaging: Experimental Study in CaninesOperating characteristics predicted by models for diagnostic tasks involving lesion localization.Automated breast mass detection in 3D reconstructed tomosynthesis volumes: a featureless approach.Validation and statistical power comparison of methods for analyzing free-response observer performance studies.Computer-aided detection system for clustered microcalcifications: comparison of performance on full-field digital mammograms and digitized screen-film mammograms.Computer-aided detection of breast masses on full field digital mammograms.Area under the free-response ROC curve (FROC) and a related summary indexCurrent perspectives in medical image perceptionQuantification of hazard prediction ability at hazard prediction training (Kiken-Yochi Training: KYT) by free-response receiver-operating characteristic (FROC) analysis.Development of an improved CAD scheme for automated detection of lung nodules in digital chest images.Computer-aided diagnosis: automatic detection of malignant masses in digitized mammograms.Evaluating imaging and computer-aided detection and diagnosis devices at the FDA.Multiclass detection of cells in multicontrast composite images.On the meaning of the weighted alternative free-response operating characteristic figure of merit.Digital magnification mammography with matched incident exposure: physical imaging properties and detectability of simulated microcalcifications.Quantitative kinetic analysis of lung nodules using the temporal subtraction technique in dynamic chest radiographies performed with a flat panel detector.The Reproducibility of Changes in Diagnostic Figures of Merit Across Laboratory and Clinical Imaging Reader Studies.Automatic detection and classification of hypodense hepatic lesions on contrast-enhanced venous-phase CT.Estimating three-class ideal observer decision variables for computerized detection and classification of mammographic mass lesions.Maximum likelihood fitting of FROC curves under an initial-detection-and-candidate-analysis model.
P2860
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P2860
Maximum likelihood analysis of free-response receiver operating characteristic (FROC) data.
description
1989 nî lūn-bûn
@nan
1989 թուականի Յուլիսին հրատարակուած գիտական յօդուած
@hyw
1989 թվականի հուլիսին հրատարակված գիտական հոդված
@hy
1989年の論文
@ja
1989年学术文章
@wuu
1989年学术文章
@zh-cn
1989年学术文章
@zh-hans
1989年学术文章
@zh-my
1989年学术文章
@zh-sg
1989年學術文章
@yue
name
Maximum likelihood analysis of ...... ng characteristic (FROC) data.
@ast
Maximum likelihood analysis of ...... ng characteristic (FROC) data.
@en
type
label
Maximum likelihood analysis of ...... ng characteristic (FROC) data.
@ast
Maximum likelihood analysis of ...... ng characteristic (FROC) data.
@en
prefLabel
Maximum likelihood analysis of ...... ng characteristic (FROC) data.
@ast
Maximum likelihood analysis of ...... ng characteristic (FROC) data.
@en
P356
P1433
P1476
Maximum likelihood analysis of ...... ng characteristic (FROC) data.
@en
P2093
D P Chakraborty
P304
P356
10.1118/1.596358
P407
P577
1989-07-01T00:00:00Z