(Q47221297)

12 January 2018

title

Estimating three-class ideal observer decision variables for computerized detection and classification of mammographic mass lesions (English)

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12 January 2018

author

Maryellen Lissak Giger

4

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12 January 2018

Robert Nishikawa

5

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12 January 2018

author name string

Darrin C Edwards

1

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12 January 2018

Li Lan

2

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12 January 2018

Charles E Metz

3

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12 January 2018

language of work or name

English

0 references

publication date

1 January 2004

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12 January 2018

number of pages

10

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based on heuristic

inferred from page(s)

published in

Medical Physics

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12 January 2018

volume

31

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12 January 2018

issue

1

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12 January 2018

page(s)

81-90

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12 January 2018

Automated segmentation of digitized mammograms

cites work

1 reference

Computerized detection of masses in digital mammograms: analysis of bilateral subtraction images

21 January 2018

1 reference

Computerized detection of masses in digital mammograms: automated alignment of breast images and its effect on bilateral-subtraction technique

21 January 2018

1 reference

Automated seeded lesion segmentation on digital mammograms

21 January 2018

1 reference

Automated computerized classification of malignant and benign masses on digitized mammograms.

21 January 2018

1 reference

Effect of dominant features on neural network performance in the classification of mammographic lesions.

21 January 2018

1 reference

Computerized classification of benign and malignant masses on digitized mammograms: a study of robustness.

21 January 2018

1 reference

Analysis of spiculation in the computerized classification of mammographic masses.

21 January 2018

1 reference

"Proper" Binormal ROC Curves: Theory and Maximum-Likelihood Estimation.

21 January 2018

1 reference

Maximum likelihood analysis of free-response receiver operating characteristic (FROC) data

21 January 2018

1 reference

Unified measurement of observer performance in detecting and localizing target objects on images

21 January 2018

1 reference

Maximum likelihood fitting of FROC curves under an initial-detection-and-candidate-analysis model

21 January 2018

1 reference

Computerized analysis of multiple-mammographic views: potential usefulness of special view mammograms in computer-aided diagnosis

21 January 2018

1 reference

Effect of case mix on feature selection in the computerized classification of mammographic lesions

21 January 2018

1 reference

Ideal observer approximation using Bayesian classification neural networks

21 January 2018

1 reference

Design of three-class classifiers in computer-aided diagnosis: Monte Carlo simulation study

21 January 2018

1 reference

Bayesian ANN estimates of three-class ideal observer decision variables for classification of mammographic masses

21 January 2018

1 reference

Comparison of bilateral-subtraction and single-image processing techniques in the computerized detection of mammographic masses.

21 January 2018

1 reference

Breast cancer: effectiveness of computer-aided diagnosis observer study with independent database of mammograms

21 January 2018

1 reference

Eliminating false-positive microcalcification clusters in a mammography CAD scheme using a Bayesian neural network

21 January 2018

1 reference

The multilayer perceptron as an approximation to a Bayes optimal discriminant function

21 January 2018

1 reference

Estimation of three-class ideal observer decision functions with a Bayesian artificial neural network

21 January 2018

1 reference

Quantification of failure to demonstrate statistical significance. The usefulness of confidence intervals

21 January 2018

1 reference

21 January 2018

Identifiers

DOI

10.1118/1.1631912

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12 January 2018

PubMed ID

14761024

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12 January 2018