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Connection

Kunio Doi to Models, Statistical

This is a "connection" page, showing publications Kunio Doi has written about Models, Statistical.
Connection Strength

0.395
  1. Comparison of typical evaluation methods for computer-aided diagnostic schemes: Monte Carlo simulation study. Med Phys. 2007 Mar; 34(3):871-6.
    View in: PubMed
    Score: 0.057
  2. An improved computer-aided diagnosis scheme using the nearest neighbor criterion for determining histological classification of clustered microcalcifications. Methods Inf Med. 2007; 46(6):716-22.
    View in: PubMed
    Score: 0.056
  3. Computer-aided diagnostic scheme for the detection of lung nodules on chest radiographs: localized search method based on anatomical classification. Med Phys. 2006 Jul; 33(7):2642-53.
    View in: PubMed
    Score: 0.054
  4. Investigation of new psychophysical measures for evaluation of similar images on thoracic computed tomography for distinction between benign and malignant nodules. Med Phys. 2003 Oct; 30(10):2584-93.
    View in: PubMed
    Score: 0.045
  5. Selective enhancement filters for nodules, vessels, and airway walls in two- and three-dimensional CT scans. Med Phys. 2003 Aug; 30(8):2040-51.
    View in: PubMed
    Score: 0.044
  6. Development of a computerized method for identifying the posteroanterior and lateral views of chest radiographs by use of a template matching technique. Med Phys. 2002 Jul; 29(7):1556-61.
    View in: PubMed
    Score: 0.041
  7. Automatic detection of abnormalities in chest radiographs using local texture analysis. IEEE Trans Med Imaging. 2002 Feb; 21(2):139-49.
    View in: PubMed
    Score: 0.040
  8. Computer-aided diagnostic scheme for lung nodule detection in digital chest radiographs by use of a multiple-template matching technique. Med Phys. 2001 Oct; 28(10):2070-6.
    View in: PubMed
    Score: 0.039
  9. Measurement of the presampling modulation transfer function of film digitizers using a curve fitting technique. Med Phys. 1990 Nov-Dec; 17(6):962-6.
    View in: PubMed
    Score: 0.018
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.