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This is a "connection" page, showing publications co-authored by Robert Nishikawa and Yulei Jiang.
Connection Strength

  1. Comparison of independent double readings and computer-aided diagnosis (CAD) for the diagnosis of breast calcifications. Acad Radiol. 2006 Jan; 13(1):84-94.
    View in: PubMed
    Score: 0.069
  2. A study on several machine-learning methods for classification of malignant and benign clustered microcalcifications. IEEE Trans Med Imaging. 2005 Mar; 24(3):371-80.
    View in: PubMed
    Score: 0.065
  3. Radial gradient-based segmentation of mammographic microcalcifications: observer evaluation and effect on CAD performance. Med Phys. 2004 Sep; 31(9):2648-57.
    View in: PubMed
    Score: 0.063
  4. Potential of computer-aided diagnosis to reduce variability in radiologists' interpretations of mammograms depicting microcalcifications. Radiology. 2001 Sep; 220(3):787-94.
    View in: PubMed
    Score: 0.051
  5. Independent evaluation of computer classification of malignant and benign calcifications in full-field digital mammograms. Acad Radiol. 2007 Mar; 14(3):363-70.
    View in: PubMed
    Score: 0.019
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.