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Connection

Maryellen L. Giger to Lung Neoplasms

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

0.268
  1. Development of an improved CAD scheme for automated detection of lung nodules in digital chest images. Med Phys. 1997 Sep; 24(9):1395-403.
    View in: PubMed
    Score: 0.064
  2. Clinical significance of noncalcified lung nodules in patients with breast cancer. Breast Cancer Res Treat. 2016 Sep; 159(2):265-71.
    View in: PubMed
    Score: 0.059
  3. Detection of lung nodules in digital chest radiographs using artificial neural networks: a pilot study. J Digit Imaging. 1995 May; 8(2):88-94.
    View in: PubMed
    Score: 0.054
  4. Computer-aided diagnosis in medical imaging. IEEE Trans Med Imaging. 2001 Dec; 20(12):1205-8.
    View in: PubMed
    Score: 0.021
  5. Automated detection of lung nodules in CT scans: preliminary results. Med Phys. 2001 Aug; 28(8):1552-61.
    View in: PubMed
    Score: 0.021
  6. Image feature analysis of false-positive diagnoses produced by automated detection of lung nodules. Invest Radiol. 1992 Aug; 27(8):587-97.
    View in: PubMed
    Score: 0.011
  7. Computerized scheme for the detection of pulmonary nodules. A nonlinear filtering technique. Invest Radiol. 1992 Feb; 27(2):124-9.
    View in: PubMed
    Score: 0.011
  8. Pulmonary nodules: computer-aided detection in digital chest images. Radiographics. 1990 Jan; 10(1):41-51.
    View in: PubMed
    Score: 0.009
  9. Image feature analysis and computer-aided diagnosis in digital radiography. 3. Automated detection of nodules in peripheral lung fields. Med Phys. 1988 Mar-Apr; 15(2):158-66.
    View in: PubMed
    Score: 0.008
  10. Lung cancer: performance of automated lung nodule detection applied to cancers missed in a CT screening program. Radiology. 2002 Dec; 225(3):685-92.
    View in: PubMed
    Score: 0.006
  11. Potential usefulness of computerized nodule detection in screening programs for lung cancer. Invest Radiol. 1992 Jun; 27(6):471-5.
    View in: PubMed
    Score: 0.003
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.