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Connection

Junji Shiraishi to Subtraction Technique

This is a "connection" page, showing publications Junji Shiraishi has written about Subtraction Technique.
Connection Strength

1.634
  1. [Development of temporal subtraction method for chest radiographs by using pixel matching technique]. Nihon Hoshasen Gijutsu Gakkai Zasshi. 2013 Aug; 69(8):855-63.
    View in: PubMed
    Score: 0.426
  2. Computer-aided diagnosis and artificial intelligence in clinical imaging. Semin Nucl Med. 2011 Nov; 41(6):449-62.
    View in: PubMed
    Score: 0.377
  3. Usefulness of temporal subtraction images for identification of interval changes in successive whole-body bone scans: JAFROC analysis of radiologists' performance. Acad Radiol. 2007 Aug; 14(8):959-66.
    View in: PubMed
    Score: 0.281
  4. Development of a computer-aided diagnostic scheme for detection of interval changes in successive whole-body bone scans. Med Phys. 2007 Jan; 34(1):25-36.
    View in: PubMed
    Score: 0.270
  5. A computerized scheme for lung nodule detection in multiprojection chest radiography. Med Phys. 2012 Apr; 39(4):2001-12.
    View in: PubMed
    Score: 0.097
  6. Clinical utility of temporal subtraction images in successive whole-body bone scans: evaluation in a prospective clinical study. J Digit Imaging. 2011 Aug; 24(4):680-7.
    View in: PubMed
    Score: 0.093
  7. Digital chest radiography: effect of temporal subtraction images on detection accuracy. Radiology. 1997 Feb; 202(2):447-52.
    View in: PubMed
    Score: 0.034
  8. Temporal subtraction method for lung nodule detection on successive thoracic CT soft-copy images. Radiology. 2014 Apr; 271(1):255-61.
    View in: PubMed
    Score: 0.027
  9. Effect of temporal subtraction images on radiologists' detection of lung cancer on CT: results of the observer performance study with use of film computed tomography images. Acad Radiol. 2004 Dec; 11(12):1337-43.
    View in: PubMed
    Score: 0.015
  10. Computerized scheme for automated detection of lung nodules in low-dose computed tomography images for lung cancer screening. Acad Radiol. 2004 Jun; 11(6):617-29.
    View in: PubMed
    Score: 0.014
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.