Connection

Etta Pisano to Observer Variation

This is a "connection" page, showing publications Etta Pisano has written about Observer Variation.
Connection Strength

0.845
  1. Impact of computer-aided detection systems on radiologist accuracy with digital mammography. AJR Am J Roentgenol. 2014 Oct; 203(4):909-16.
    View in: PubMed
    Score: 0.108
  2. Comparison of radiologist performance with photon-counting full-field digital mammography to conventional full-field digital mammography. Acad Radiol. 2012 Aug; 19(8):916-22.
    View in: PubMed
    Score: 0.091
  3. Use of BI-RADS 3-probably benign category in the American College of Radiology Imaging Network Digital Mammographic Imaging Screening Trial. Radiology. 2011 Jul; 260(1):61-7.
    View in: PubMed
    Score: 0.085
  4. Comparison of image acquisition and radiologist interpretation times in a diagnostic mammography center. Acad Radiol. 2010 Sep; 17(9):1168-74.
    View in: PubMed
    Score: 0.080
  5. Cancer cases from ACRIN digital mammographic imaging screening trial: radiologist analysis with use of a logistic regression model. Radiology. 2009 Aug; 252(2):348-57.
    View in: PubMed
    Score: 0.075
  6. Radiologist evaluation of an X-ray tube-based diffraction-enhanced imaging prototype using full-thickness breast specimens. Acad Radiol. 2009 Nov; 16(11):1329-37.
    View in: PubMed
    Score: 0.075
  7. Improving the detection of simulated masses in mammograms through two different image-processing techniques. Acad Radiol. 2001 Sep; 8(9):845-55.
    View in: PubMed
    Score: 0.044
  8. Discrimination of benign from malignant breast lesions in dense breasts with model-based analysis of regions-of-interest using directional diffusion-weighted images. BMC Med Imaging. 2020 06 09; 20(1):61.
    View in: PubMed
    Score: 0.040
  9. Effect of display luminance on the feature detection rates of masses in mammograms. Med Phys. 1999 Nov; 26(11):2266-72.
    View in: PubMed
    Score: 0.038
  10. Effects of processing conditions on mammographic image quality. Acad Radiol. 1999 Aug; 6(8):464-70.
    View in: PubMed
    Score: 0.038
  11. The effect of intensity windowing on the detection of simulated masses embedded in dense portions of digitized mammograms in a laboratory setting. J Digit Imaging. 1997 Nov; 10(4):174-82.
    View in: PubMed
    Score: 0.033
  12. Does intensity windowing improve the detection of simulated calcifications in dense mammograms? J Digit Imaging. 1997 May; 10(2):79-84.
    View in: PubMed
    Score: 0.032
  13. Accuracy of soft-copy digital mammography versus that of screen-film mammography according to digital manufacturer: ACRIN DMIST retrospective multireader study. Radiology. 2008 Apr; 247(1):38-48.
    View in: PubMed
    Score: 0.017
  14. Comparison of LCD and CRT displays based on efficacy for digital mammography. Acad Radiol. 2006 Nov; 13(11):1317-26.
    View in: PubMed
    Score: 0.016
  15. A comparative study of 2D and 3D ultrasonography for evaluation of solid breast masses. Eur J Radiol. 2005 Jun; 54(3):365-70.
    View in: PubMed
    Score: 0.014
  16. Low-dose multidetector dynamic CT in the breast: preliminary study. Clin Imaging. 2005 May-Jun; 29(3):172-8.
    View in: PubMed
    Score: 0.014
  17. Diagnostic agreement in the evaluation of image-guided breast core needle biopsies: results from a randomized clinical trial. Am J Surg Pathol. 2004 Jan; 28(1):126-31.
    View in: PubMed
    Score: 0.013
  18. Comparison of full-field digital mammography to screen-film mammography with respect to diagnostic accuracy of lesion characterization in breast tissue biopsy specimens. Acad Radiol. 2002 Dec; 9(12):1378-82.
    View in: PubMed
    Score: 0.012
  19. A method for determination of optimal image enhancement for the detection of mammographic abnormalities. J Digit Imaging. 1994 Nov; 7(4):161-71.
    View in: PubMed
    Score: 0.007
  20. Computed tomography interpretations with a low-cost workstation: a timing study. J Digit Imaging. 1994 Aug; 7(3):133-9.
    View in: PubMed
    Score: 0.007
  21. Effects of delayed processing on mammographic phantom object detection. Invest Radiol. 1993 Dec; 28(12):1113-9.
    View in: PubMed
    Score: 0.006
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.