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Connection

Kunio Doi to Information Storage and Retrieval

This is a "connection" page, showing publications Kunio Doi has written about Information Storage and Retrieval.

 
Connection Strength
 
 
 
0.286
 
  1. Suzuki K, Abe H, MacMahon H, Doi K. Image-processing technique for suppressing ribs in chest radiographs by means of massive training artificial neural network (MTANN). IEEE Trans Med Imaging. 2006 Apr; 25(4):406-16.
    View in: PubMed
    Score: 0.073
  2. Suzuki K, Doi K. How can a massive training artificial neural network (MTANN) be trained with a small number of cases in the distinction between nodules and vessels in thoracic CT? Acad Radiol. 2005 Oct; 12(10):1333-41.
    View in: PubMed
    Score: 0.070
  3. Muramatsu C, Li Q, Suzuki K, Schmidt RA, Shiraishi J, Newstead GM, Doi K. Investigation of psychophysical measure for evaluation of similar images for mammographic masses: preliminary results. Med Phys. 2005 Jul; 32(7):2295-304.
    View in: PubMed
    Score: 0.069
  4. Morishita J, Watanabe H, Katsuragawa S, Oda N, Sukenobu Y, Okazaki H, Nakata H, Doi K. Investigation of misfiled cases in the PACS environment and a solution to prevent filing errors for chest radiographs. Acad Radiol. 2005 Jan; 12(1):97-103.
    View in: PubMed
    Score: 0.067
  5. Giger ML, Doi K, MacMahon H, Nishikawa RM, Hoffmann KR, Vyborny CJ, Schmidt RA, Jia H, Abe K, Chen X, et al. An "intelligent" workstation for computer-aided diagnosis. Radiographics. 1993 May; 13(3):647-56.
    View in: PubMed
    Score: 0.007
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.