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Volumn 137, Issue , 2008, Pages 68-79

Improving outcomes with interoperable EHRs and secure global health information infrastructure

Author keywords

[No Author keywords available]

Indexed keywords

INTEROPERABILITY; PATIENT TREATMENT; PUBLIC HEALTH; TERNARY ALLOYS; TUNGSTEN ALLOYS;

EID: 52649104907     PISSN: 09269630     EISSN: 18798365     Source Type: Book Series    
DOI: None     Document Type: Conference Paper
Times cited : (3)

References (6)
  • 1
    • 34047185865 scopus 로고    scopus 로고
    • A Review of Image Watermarking Applications in Healthcare
    • IEEE Engineering in Medicine and Biology Society
    • G. Coatrieux, L. Lecornu, B. Sankur, and C. Roux, "A Review of Image Watermarking Applications in Healthcare," in Proc. of the 28th International Conference IEEE Engineering in Medicine and Biology Society, 2006.
    • (2006) Proc. of the 28th International Conference
    • Coatrieux, G.1    Lecornu, L.2    Sankur, B.3    Roux, C.4
  • 3
    • 71549118118 scopus 로고    scopus 로고
    • Hybrid coding using encryption, data hiding and compression for the security of medical information, chapitre de l'ouvrage, Compression of Biomedical Images and Signals, Chippenham, UK: ISTE
    • to appear
    • W. puech, G. Coatrieux, "Hybrid coding using encryption, data hiding and compression for the security of medical information", chapitre de l'ouvrage, Compression of Biomedical Images and Signals, Chippenham, UK: ISTE, to appear.
    • puech, W.1    Coatrieux, G.2
  • 5
    • 84860693198 scopus 로고    scopus 로고
    • G. Coatrieux, C. Quantin, J. Montagner, M. fassa, F-.A. Allaërt, Ch. Roux, Watermarking Medical Images with Anonymous Patient Identification to Verify Authenticity, Studies in Health Technology and Informatics, IOS Press, To appear.
    • G. Coatrieux, C. Quantin, J. Montagner, M. fassa, F-.A. Allaërt, Ch. Roux, "Watermarking Medical Images with Anonymous Patient Identification to Verify Authenticity," Studies in Health Technology and Informatics, IOS Press, To appear.


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.