Literature DB >> 31389744

Can AI Help Make Screening Mammography "Lean"?

Despina Kontos1, Emily F Conant1.   

Abstract

Mesh：

Year:  2019        PMID： 31389744      PMCID： PMC6776229          DOI： 10.1148/radiol.2019191542

Source DB:  PubMed          Journal:  Radiology        ISSN： 0033-8419            Impact factor:   11.105


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  10 in total

1.  Accuracy of screening mammography interpretation by characteristics of radiologists.

Authors:  William E Barlow; Chen Chi; Patricia A Carney; Stephen H Taplin; Carl D'Orsi; Gary Cutter; R Edward Hendrick; Joann G Elmore
Journal:  J Natl Cancer Inst       Date:  2004-12-15       Impact factor: 13.506

2.  Improving Workflow Efficiency for Mammography Using Machine Learning.

Authors:  Trent Kyono; Fiona J Gilbert; Mihaela van der Schaar
Journal:  J Am Coll Radiol       Date:  2019-05-30       Impact factor: 5.532

3.  Large scale deep learning for computer aided detection of mammographic lesions.

Authors:  Thijs Kooi; Geert Litjens; Bram van Ginneken; Albert Gubern-Mérida; Clara I Sánchez; Ritse Mann; Ard den Heeten; Nico Karssemeijer
Journal:  Med Image Anal       Date:  2016-08-02       Impact factor: 8.545

Review 4.  Effectiveness and cost-effectiveness of double reading in digital mammography screening: A systematic review and meta-analysis.

Authors:  Margarita Posso; Teresa Puig; Misericòrdia Carles; Montserrat Rué; Carlos Canelo-Aybar; Xavier Bonfill
Journal:  Eur J Radiol       Date:  2017-09-21       Impact factor: 3.528

5.  Influence of computer-aided detection on performance of screening mammography.

Authors:  Joshua J Fenton; Stephen H Taplin; Patricia A Carney; Linn Abraham; Edward A Sickles; Carl D'Orsi; Eric A Berns; Gary Cutter; R Edward Hendrick; William E Barlow; Joann G Elmore
Journal:  N Engl J Med       Date:  2007-04-05       Impact factor: 91.245

6.  A Deep Learning Mammography-based Model for Improved Breast Cancer Risk Prediction.

Authors:  Adam Yala; Constance Lehman; Tal Schuster; Tally Portnoi; Regina Barzilay
Journal:  Radiology       Date:  2019-05-07       Impact factor: 11.105

7.  Detection of Breast Cancer with Mammography: Effect of an Artificial Intelligence Support System.

Authors:  Alejandro Rodríguez-Ruiz; Elizabeth Krupinski; Jan-Jurre Mordang; Kathy Schilling; Sylvia H Heywang-Köbrunner; Ioannis Sechopoulos; Ritse M Mann
Journal:  Radiology       Date:  2018-11-20       Impact factor: 11.105

8.  A Deep Learning Model to Triage Screening Mammograms: A Simulation Study.

Authors:  Adam Yala; Tal Schuster; Randy Miles; Regina Barzilay; Constance Lehman
Journal:  Radiology       Date:  2019-08-06       Impact factor: 11.105

9.  Deep Learning to Distinguish Recalled but Benign Mammography Images in Breast Cancer Screening.

Authors:  Sarah S Aboutalib; Aly A Mohamed; Wendie A Berg; Margarita L Zuley; Jules H Sumkin; Shandong Wu
Journal:  Clin Cancer Res       Date:  2018-10-11       Impact factor: 12.531

10.  Can we reduce the workload of mammographic screening by automatic identification of normal exams with artificial intelligence? A feasibility study.

Authors:  Alejandro Rodriguez-Ruiz; Kristina Lång; Albert Gubern-Merida; Jonas Teuwen; Mireille Broeders; Gisella Gennaro; Paola Clauser; Thomas H Helbich; Margarita Chevalier; Thomas Mertelmeier; Matthew G Wallis; Ingvar Andersson; Sophia Zackrisson; Ioannis Sechopoulos; Ritse M Mann
Journal:  Eur Radiol       Date:  2019-04-16       Impact factor: 5.315
  10 in total
  3 in total

Review 1.  Artificial Intelligence: A Primer for Breast Imaging Radiologists.

Authors:  Manisha Bahl
Journal:  J Breast Imaging       Date:  2020-06-19

2.  DeepCAT: Deep Computer-Aided Triage of Screening Mammography.

Authors:  Paul H Yi; Dhananjay Singh; Susan C Harvey; Gregory D Hager; Lisa A Mullen
Journal:  J Digit Imaging       Date:  2021-01-11       Impact factor: 4.056

3.  Deep-LIBRA: An artificial-intelligence method for robust quantification of breast density with independent validation in breast cancer risk assessment.

Authors:  Omid Haji Maghsoudi; Aimilia Gastounioti; Christopher Scott; Lauren Pantalone; Fang-Fang Wu; Eric A Cohen; Stacey Winham; Emily F Conant; Celine Vachon; Despina Kontos
Journal:  Med Image Anal       Date:  2021-07-02       Impact factor: 13.828
  3 in total

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