(Q39588988)

English

Performance gain in computer-assisted detection schemes by averaging scores generated from artificial neural networks with adaptive filtering

scientific article published on November 2001

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scholarly article

1 reference

Europe PubMed Central

PubMed publication ID

13 September 2017

Performance gain in computer-assisted detection schemes by averaging scores generated from artificial neural networks with adaptive filtering (English)

1 reference

Europe PubMed Central

PubMed publication ID

13 September 2017

artificial neural network

0 references

author name string

B Zheng

1

1 reference

Europe PubMed Central

PubMed publication ID

13 September 2017

Y H Chang

2

1 reference

Europe PubMed Central

PubMed publication ID

13 September 2017

W F Good

3

1 reference

Europe PubMed Central

PubMed publication ID

13 September 2017

D Gur

4

1 reference

Europe PubMed Central

PubMed publication ID

13 September 2017

language of work or name

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publication date

1 November 2001

1 reference

Europe PubMed Central

PubMed publication ID

13 September 2017

Medical Physics

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Europe PubMed Central

PubMed publication ID

13 September 2017

28

1 reference

Europe PubMed Central

PubMed publication ID

13 September 2017

11

1 reference

Europe PubMed Central

PubMed publication ID

13 September 2017

2302-2308

1 reference

Europe PubMed Central

PubMed publication ID

13 September 2017

Computer-aided mammographic screening for spiculated lesions

1 reference

https://api.crossref.org/works/10.1118%2F1.1412240

21 January 2018

Computer-aided detection of mammographic microcalcifications: pattern recognition with an artificial neural network

1 reference

https://api.crossref.org/works/10.1118%2F1.1412240

21 January 2018

Digital mammography: computer-assisted diagnosis method for mass detection with multiorientation and multiresolution wavelet transforms

1 reference

https://api.crossref.org/works/10.1118%2F1.1412240

21 January 2018

Computer-aided breast cancer detection and diagnosis of masses using difference of Gaussians and derivative-based feature saliency

1 reference

https://api.crossref.org/works/10.1118%2F1.1412240

21 January 2018

Computer-aided diagnosis: automatic detection of malignant masses in digitized mammograms.

1 reference

https://api.crossref.org/works/10.1118%2F1.1412240

21 January 2018

Optimally weighted wavelet transform based on supervised training for detection of microcalcifications in digital mammograms

1 reference

https://api.crossref.org/works/10.1118%2F1.1412240

21 January 2018

A novel approach to microcalcification detection using fuzzy logic technique.

1 reference

https://api.crossref.org/works/10.1118%2F1.1412240

21 January 2018

Segmentation of suspicious clustered microcalcifications in mammograms.

1 reference

https://api.crossref.org/works/10.1118%2F1.1412240

21 January 2018

Applying computer-assisted detection schemes to digitized mammograms after JPEG data compression: an assessment

1 reference

https://api.crossref.org/works/10.1118%2F1.1412240

21 January 2018

Computer vision and artificial intelligence in mammography

1 reference

https://api.crossref.org/works/10.1118%2F1.1412240

21 January 2018

Potential contribution of computer-aided detection to the sensitivity of screening mammography

1 reference

https://api.crossref.org/works/10.1118%2F1.1412240

21 January 2018

Automated detection of breast carcinomas not detected in a screening program.

1 reference

https://api.crossref.org/works/10.1118%2F1.1412240

21 January 2018

False-positive reduction technique for detection of masses on digital mammograms: global and local multiresolution texture analysis.

1 reference

https://api.crossref.org/works/10.1118%2F1.1412240

21 January 2018

Image feature selection by a genetic algorithm: application to classification of mass and normal breast tissue.

1 reference

https://api.crossref.org/works/10.1118%2F1.1412240

21 January 2018

A genetic algorithm-based method for optimizing the performance of a computer-aided diagnosis scheme for detection of clustered microcalcifications in mammograms.

1 reference

https://api.crossref.org/works/10.1118%2F1.1412240

21 January 2018

An improved shift-invariant artificial neural network for computerized detection of clustered microcalcifications in digital mammograms

1 reference

https://api.crossref.org/works/10.1118%2F1.1412240

21 January 2018

Incorporation of a set enumeration trees-based classifier into a hybrid computer-assisted diagnosis scheme for mass detection

1 reference

https://api.crossref.org/works/10.1118%2F1.1412240

21 January 2018

Feature selection for computerized mass detection in digitized mammograms by using a genetic algorithm

1 reference

https://api.crossref.org/works/10.1118%2F1.1412240

21 January 2018

Knowledge-based computer-aided detection of masses on digitized mammograms: a preliminary assessment

1 reference

https://api.crossref.org/works/10.1118%2F1.1412240

21 January 2018

Adequacy testing of training set sample sizes in the development of a computer-assisted diagnosis scheme.

1 reference

https://api.crossref.org/works/10.1118%2F1.1412240

21 January 2018

Effect of case selection on the performance of computer-aided detection schemes

1 reference

https://api.crossref.org/works/10.1118%2F1.1412240

21 January 2018

Adaptive computer-aided diagnosis scheme of digitized mammograms

1 reference

https://api.crossref.org/works/10.1118%2F1.1412240

21 January 2018

Digital mammography: comparison of adaptive and nonadaptive CAD methods for mass detection

1 reference

https://api.crossref.org/works/10.1118%2F1.1412240

21 January 2018

Gains in accuracy from replicated readings of diagnostic images: prediction and assessment in terms of ROC analysis

1 reference

https://api.crossref.org/works/10.1118%2F1.1412240

21 January 2018

Computer-aided diagnosis in full digital mammography

1 reference

https://api.crossref.org/works/10.1118%2F1.1412240

21 January 2018

Computerized detection of masses in digitized mammograms using single-image segmentation and a multilayer topographic feature analysis

1 reference

https://api.crossref.org/works/10.1118%2F1.1412240

21 January 2018

Lesion conspicuity, structured noise, and film reader error

1 reference

https://api.crossref.org/works/10.1118%2F1.1412240

21 January 2018

Maximum likelihood estimation of receiver operating characteristic (ROC) curves from continuously-distributed data

1 reference

https://api.crossref.org/works/10.1118%2F1.1412240

21 January 2018

Feature selection with limited datasets.

1 reference

https://api.crossref.org/works/10.1118%2F1.1412240

21 January 2018

Classifier design for computer-aided diagnosis: effects of finite sample size on the mean performance of classical and neural network classifiers

1 reference

https://api.crossref.org/works/10.1118%2F1.1412240

21 January 2018

In the next decade automated computer analysis will be an accepted sole method to separate "normal" from "abnormal" radiological images

1 reference

https://api.crossref.org/works/10.1118%2F1.1412240

21 January 2018

Analysis of methods for reducing false positives in the automated detection of clustered microcalcifications in mammograms

1 reference

https://api.crossref.org/works/10.1118%2F1.1412240

21 January 2018

Variations in measured performance of CAD schemes due to database composition and scoring protocol

1 reference

https://api.crossref.org/works/10.1118%2F1.1412240

21 January 2018

Densitometric Measurements of Lung Nodules on Chest Radiographs

1 reference

https://api.crossref.org/works/10.1118%2F1.1412240

21 January 2018

Observer variation and the performance accuracy gained by averaging ratings of abnormality

1 reference

https://api.crossref.org/works/10.1118%2F1.1412240

21 January 2018

Identifiers

10.1118/1.1412240

1 reference

Europe PubMed Central

PubMed publication ID

13 September 2017

release_7uzwanpcebbi5cbwj53gh2tjea

0 references

PubMed publication ID

1 reference

Europe PubMed Central

PubMed publication ID

13 September 2017

ResearchGate publication ID

0 references

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