Search Results - "Loew, M.H."
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1
Assessing Classifiers from Two Independent Data Sets Using ROC Analysis: A Nonparametric Approach
Published in IEEE transactions on pattern analysis and machine intelligence (01-11-2006)“…This paper considers binary classification. We assess a classifier in terms of the area under the ROC curve (AUC). We estimate three important parameters, the…”
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2
Fully automatic 3D feature-based registration of multi-modality medical images
Published in Image and vision computing (2001)“…In this paper, we present an automated multi-modality registration algorithm based on hierarchical feature extraction. The approach, which has not been used…”
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3
Design and evaluation of an automatic procedure for detection of large misregistration of medical images
Published in IEEE transactions on medical imaging (01-11-2003)“…In many cases the combined assessment of three-dimensional anatomical and functional images [single photon emission computed tomography (SPECT), positron…”
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4
Identity dominance: Using fingerprints to link an individual to a larger social structure
Published in 2008 37th IEEE Applied Imagery Pattern Recognition Workshop (01-10-2008)“…This is a fingerprint pattern and ridge count analysis for two population groups used to associate an individual to a group through qualitative and…”
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5
Comparison of non-parametric methods for assessing classifier performance in terms of ROC parameters
Published in 33rd Applied Imagery Pattern Recognition Workshop (AIPR'04) (2004)“…The most common metric to assess a classifier's performance is the classification error rate, or the probability of misclassification (PMC). Receiver operating…”
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6
Quality Measures for Decompressed Medical Images: Statistics, Observers, and ROCs
Published in 2007 IEEE International Conference on Acoustics, Speech and Signal Processing - ICASSP '07 (01-04-2007)“…The diagnostic value of a medical image after it has been decompressed is a very practical measure of the image quality and the compression method. A…”
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7
Validation of relative feature importance using a natural data set
Published in Proceedings 15th International Conference on Pattern Recognition. ICPR-2000 (2000)“…Feature analysis for classification is based on the discriminately power of features. In our previous research (1997), we presented a method for measuring the…”
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8
Estimating fractal dimension with fractal interpolation function models
Published in IEEE transactions on medical imaging (01-12-1997)“…Fractal dimension (FD) is a feature which is widely used to characterize medical images. Previously, researchers have shown that FD separates important classes…”
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An objective measure for assembling databases used to train and test mammogram CAD algorithms
Published in 2006 3rd IEEE International Symposium on Biomedical Imaging--Macro to Nano : Arlington, WA, 6-9 April 2006 (2006)“…We calculate a measure of lesion subtlety that is derived using both lesion and parenchymal feature salience. Previously, this measure was shown to correlate…”
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REAL-TIME BLADDER-LAYER RECOGNITION: AN APPROACH TO OPTICAL BIOPSY
Published in 2007 4th IEEE International Symposium on Biomedical Imaging: From Nano to Macro (01-04-2007)“…The lining of the bladder is comprised of well defined layers that are clearly visible in optical coherence tomography (OCT) images of healthy bladder tissue…”
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11
The trade-offs between manual and computer-based stereology/classification: application to estimates of volume fraction
Published in Proceedings of the 25th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (IEEE Cat. No.03CH37439) (2003)“…Estimation of volume or the ratio of volumes in an image requires both mensuration and classification. The former is achieved through stereology - a set of…”
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12
Quantitative methods in medical imaging
Published in Proceedings Eighth IEEE Symposium on Computer-Based Medical Systems (1995)“…Measurement and comparison of medical images is of growing importance for several reasons: (1) as medical imaging becomes ever more digital, and networks and…”
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13
Objective analysis of ultrasound images by use of a computational observer
Published in IEEE transactions on medical imaging (01-12-1992)“…The design, implementation, and testing of a computational observer method for objective evaluation of ultrasound images are presented. The method uses…”
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14
An efficient implementation of the channelized Hotelling observer for task-based assessment of lossy compressed images
Published in Proceedings IEEE International Symposium on Biomedical Imaging (2002)“…An efficient subband implementation of the channelized Hotelling observer is presented, which can be used to assess the image quality of images compressed with…”
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15
A new approach to reduce the 'blocking effect' of transform coding (image coding)
Published in IEEE transactions on communications (01-02-1993)“…A combined-transform coding (CTC) scheme to reduce the blocking effect of conventional block transform coding and hence to improve the subjective performance…”
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16
Image staining and differential diagnosis of ultrasound scans based on the Mahalanobis distance
Published in IEEE transactions on medical imaging (01-03-1994)“…The covariance matrices associated with each state of health or disease from a previous study are used as the basis of an image staining display technique for…”
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17
Fractal dimension of low-resolution medical images
Published in Proceedings of 18th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (1996)“…Fractal dimension (fd) is a feature which is widely used to characterize medical images. Previously, researchers have shown that fd separates important classes…”
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18
Detection of microcalcifications in mammograms using eyetrack data
Published in Proceedings., International Conference on Image Processing (1995)“…In this preliminary study the authors analyzed eyetrack data that was recorded while radiologists reviewed mammography images. The method of collecting the…”
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19
Non-parametric discriminatory power
Published in Proceedings of 1994 Workshop on Information Theory and Statistics (1994)“…Discriminatory power is the relative usefulness of a feature for classification. Traditionally feature-selection techniques have defined discriminatory power…”
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20
Technical issues in multimodality medical image registration
Published in Proceedings. 11th IEEE Symposium on Computer-Based Medical Systems (Cat. No.98CB36237) (1998)“…Two one-day workshops were held in 1997 that brought together a group of 38 experts from nine countries to address several aspects of the issues surrounding…”
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