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Connection

Maryellen L. Giger to Ultrasonography, Mammary

This is a "connection" page, showing publications Maryellen L. Giger has written about Ultrasonography, Mammary.
Connection Strength

3.568
  1. Automated Breast Ultrasound in Breast Cancer Screening of Women With Dense Breasts: Reader Study of Mammography-Negative and Mammography-Positive Cancers. AJR Am J Roentgenol. 2016 Jun; 206(6):1341-50.
    View in: PubMed
    Score: 0.531
  2. Computerized detection of breast cancer on automated breast ultrasound imaging of women with dense breasts. Med Phys. 2014 Jan; 41(1):012901.
    View in: PubMed
    Score: 0.454
  3. Interreader scoring variability in an observer study using dual-modality imaging for breast cancer detection in women with dense breasts. Acad Radiol. 2013 Jul; 20(7):847-53.
    View in: PubMed
    Score: 0.432
  4. Repeatability in computer-aided diagnosis: application to breast cancer diagnosis on sonography. Med Phys. 2010 Jun; 37(6):2659-69.
    View in: PubMed
    Score: 0.354
  5. Automated method for improving system performance of computer-aided diagnosis in breast ultrasound. IEEE Trans Med Imaging. 2009 Jan; 28(1):122-8.
    View in: PubMed
    Score: 0.321
  6. Breast US computer-aided diagnosis workstation: performance with a large clinical diagnostic population. Radiology. 2008 Aug; 248(2):392-7.
    View in: PubMed
    Score: 0.310
  7. Multimodality computerized diagnosis of breast lesions using mammography and sonography. Acad Radiol. 2005 Aug; 12(8):970-9.
    View in: PubMed
    Score: 0.253
  8. Computerized analysis of lesions in US images of the breast. Acad Radiol. 1999 Nov; 6(11):665-74.
    View in: PubMed
    Score: 0.170
  9. Enhancement of breast CADx with unlabeled data. Med Phys. 2010 Aug; 37(8):4155-72.
    View in: PubMed
    Score: 0.090
  10. Breast US computer-aided diagnosis system: robustness across urban populations in South Korea and the United States. Radiology. 2009 Dec; 253(3):661-71.
    View in: PubMed
    Score: 0.085
  11. Prevalence scaling: applications to an intelligent workstation for the diagnosis of breast cancer. Acad Radiol. 2008 Nov; 15(11):1446-57.
    View in: PubMed
    Score: 0.079
  12. Performance of breast ultrasound computer-aided diagnosis: dependence on image selection. Acad Radiol. 2008 Oct; 15(10):1234-45.
    View in: PubMed
    Score: 0.079
  13. Potential effect of different radiologist reporting methods on studies showing benefit of CAD. Acad Radiol. 2008 Feb; 15(2):139-52.
    View in: PubMed
    Score: 0.075
  14. Robustness of computerized lesion detection and classification scheme across different breast US platforms. Radiology. 2005 Dec; 237(3):834-40.
    View in: PubMed
    Score: 0.065
  15. Computerized analysis of images in the detection and diagnosis of breast cancer. Semin Ultrasound CT MR. 2004 Oct; 25(5):411-8.
    View in: PubMed
    Score: 0.060
  16. Computerized detection and classification of cancer on breast ultrasound. Acad Radiol. 2004 May; 11(5):526-35.
    View in: PubMed
    Score: 0.058
  17. Performance of computer-aided diagnosis in the interpretation of lesions on breast sonography. Acad Radiol. 2004 Mar; 11(3):272-80.
    View in: PubMed
    Score: 0.057
  18. Computerized analysis of shadowing on breast ultrasound for improved lesion detection. Med Phys. 2003 Jul; 30(7):1833-42.
    View in: PubMed
    Score: 0.055
  19. A novel hybrid linear/nonlinear classifier for two-class classification: theory, algorithm, and applications. IEEE Trans Med Imaging. 2010 Feb; 29(2):428-41.
    View in: PubMed
    Score: 0.021
  20. Classification of breast lesions with multimodality computer-aided diagnosis: observer study results on an independent clinical data set. Radiology. 2006 Aug; 240(2):357-68.
    View in: PubMed
    Score: 0.017
Connection Strength

The connection strength for concepts is the sum of the scores for each matching publication.

Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.