(Q34060566)

30 July 2017

title

Breast cancer risk estimation with artificial neural networks revisited: discrimination and calibration (English)

1 reference

artificial neural network

30 July 2017

main subject

0 references

Oguzhan Alagoz

2

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Elizabeth S Burnside

object named as

Elizabeth S Burnside

6

0 references

Charles E. Kahn

object named as

Charles E Kahn

5

0 references

author name string

Turgay Ayer

1

1 reference

30 July 2017

Jagpreet Chhatwal

3

1 reference

30 July 2017

Jude W Shavlik

4

1 reference

30 July 2017

language of work or name

English

0 references

publication date

1 July 2010

1 reference

30 July 2017

1 reference

30 July 2017

volume

116

1 reference

30 July 2017

issue

14

1 reference

30 July 2017

page(s)

3310-3321

1 reference

describes a project that uses

30 July 2017

artificial neural network

1 reference

Probabilistic computer model developed from clinical data in national mammography database format to classify mammographic findings

inferred from title

cites work

1 reference

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5 July 2018

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Mammography facility characteristics associated with interpretive accuracy of screening mammography

5 July 2018

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Statistical evaluation of prognostic versus diagnostic models: beyond the ROC curve

5 July 2018

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Influence of Computer-Aided Detection on Performance of Screening Mammography

5 July 2018

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Use and misuse of the receiver operating characteristic curve in risk prediction

5 July 2018

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Bayesian network to predict breast cancer risk of mammographic microcalcifications and reduce number of benign biopsy results: initial experience

5 July 2018

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Breast masses: computer-aided diagnosis with serial mammograms

5 July 2018

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Improved cancer detection using computer-aided detection with diagnostic and screening mammography: prospective study of 104 cancers

5 July 2018

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Screening mammograms: interpretation with computer-aided detection--prospective evaluation

5 July 2018

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Computer-aided detection with screening mammography in a university hospital setting

5 July 2018

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Bayesian networks: computer-assisted diagnosis support in radiology

5 July 2018

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Trends in recall, biopsy, and positive biopsy rates for screening mammography in an academic practice

5 July 2018

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Informed consent and communication of risk from radiological and nuclear medicine examinations: how to escape from a communication inferno

5 July 2018

1 reference

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Validity of cancer registry data for measuring the quality of breast cancer care

5 July 2018

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Interpreting data from audits when screening and diagnostic mammography outcomes are combined

5 July 2018

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Computer-aided detection and diagnosis of breast cancer

5 July 2018

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Improving breast cancer diagnosis with computer-aided diagnosis.

5 July 2018

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Prediction of breast cancer malignancy using an artificial neural network

5 July 2018

1 reference

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Breast cancer: prediction with artificial neural network based on BI-RADS standardized lexicon

5 July 2018

1 reference

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Internist-1, an experimental computer-based diagnostic consultant for general internal medicine

5 July 2018

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Regression models for prognostic prediction: advantages, problems, and suggested solutions.

5 July 2018

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INTERNIST-I properties: representing common sense and good medical practice in a computerized medical knowledge base

5 July 2018

1 reference

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The treatment advice of a computer-based cancer chemotherapy protocol advisor.

5 July 2018

1 reference

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Medical expert systems--knowledge tools for physicians

5 July 2018

1 reference

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Comparing the areas under two or more correlated receiver operating characteristic curves: a nonparametric approach

5 July 2018

1 reference

https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pmc&linkname=pmc_refs_pubmed&retmode=json&id=2920215

Evaluating physicians' probabilistic judgments

5 July 2018

1 reference

https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pmc&linkname=pmc_refs_pubmed&retmode=json&id=2920215

Why the standard view is standard: people, not machines, understand patients' problems

5 July 2018

1 reference

https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pmc&linkname=pmc_refs_pubmed&retmode=json&id=2920215

Periodic mammographic follow-up of probably benign lesions: results in 3,184 consecutive cases

5 July 2018

1 reference

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Genetic analysis of breast cancer in the cancer and steroid hormone study

5 July 2018

1 reference

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What price perfection? Calibration and discrimination of clinical prediction models

5 July 2018

1 reference

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Evaluating the performance of a computer-based consultant

5 July 2018

1 reference

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Artificial neural network: improving the quality of breast biopsy recommendations

5 July 2018

1 reference

https://api.crossref.org/works/10.1002%2FCNCR.25081

Use of an artificial neural network to quantitate risk of malignancy for abnormal mammograms.

21 January 2018

1 reference

https://api.crossref.org/works/10.1002%2FCNCR.25081

Artificial neural networks in mammography: application to decision making in the diagnosis of breast cancer.

21 January 2018

1 reference

https://api.crossref.org/works/10.1002%2FCNCR.25081

Neural networks at the crossroads: caution ahead.

21 January 2018

1 reference

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A proposal for a national mammography database: content, purpose, and value.

21 January 2018

1 reference

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Comparison of independent double readings and computer-aided diagnosis (CAD) for the diagnosis of breast calcifications.

21 January 2018

1 reference

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Impact of computer-aided detection in a regional screening mammography program.

28 October 2018

1 reference

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Cancer risk prediction models: a workshop on development, evaluation, and application

28 October 2018

1 reference

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Computer-aided diagnosis of mammographic microcalcification clusters

28 October 2018

1 reference

https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pmc&linkname=pmc_refs_pubmed&retmode=json&id=2920215

Comparison of screening mammography in the United States and the United kingdom

28 October 2018

1 reference

https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pmc&linkname=pmc_refs_pubmed&retmode=json&id=2920215

Computer-aided diagnosis of breast cancer: artificial neural network approach for optimized merging of mammographic features.

28 October 2018

1 reference

https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pmc&linkname=pmc_refs_pubmed&retmode=json&id=2920215

Variability in radiologists' interpretations of mammograms.

28 October 2018

1 reference

https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pmc&linkname=pmc_refs_pubmed&retmode=json&id=2920215

Promoting an ethical approach to unproven screening imaging tests

28 October 2018

1 reference

https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pmc&linkname=pmc_refs_pubmed&retmode=json&id=2920215

Informed and shared decision making: an alternative to the debate over unproven screening tests

28 October 2018

1 reference

12 December 2020

Determining the quality of breast cancer care: do tumor registries measure up?

1 reference

12 December 2020

Screening mammography with computer-aided detection: prospective study of 12,860 patients in a community breast center

1 reference

12 December 2020

Relationship between Brier score and area under the binormal ROC curve

1 reference

12 December 2020

Computer-Aided Diagnosis in Radiology

1 reference

12 December 2020

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

1 reference

12 December 2020

Improvement of radiologists' characterization of mammographic masses by using computer-aided diagnosis: an ROC study

1 reference

12 December 2020

Prospective breast cancer risk prediction model for women undergoing screening mammography

1 reference

12 December 2020

Computer-based consultations in clinical therapeutics: explanation and rule acquisition capabilities of the MYCIN system

1 reference

12 December 2020

Projecting individualized probabilities of developing breast cancer for white females who are being examined annually

1 reference

12 December 2020

Autosomal dominant inheritance of early-onset breast cancer. Implications for risk prediction

1 reference

12 December 2020

Learning representations by back-propagating errors

1 reference

https://api.crossref.org/works/10.1002%2FCNCR.25081

7 January 2021

inferred from DOI database lookup

Identifiers

DOI

10.1002/CNCR.25081

1 reference

30 July 2017

1 reference

30 July 2017

1 reference