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Volumn 7 VOLS, Issue , 2005, Pages 3475-3478

Effect of adaptive-neighborhood contrast enhancement on the extraction of the breast skin-line in mammograms

Author keywords

[No Author keywords available]

Indexed keywords

ACOUSTIC NOISE; BIOLOGICAL ORGANS; BIOMEDICAL ENGINEERING; FEATURE EXTRACTION; MAMMOGRAPHY;

EID: 33846907583     PISSN: 05891019     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (5)

References (12)
  • 3
    • 27844595984 scopus 로고    scopus 로고
    • Automating cell segmentation evaluation with annotated examples
    • Brisbane, Australia, pp
    • P. Bamford, "Automating cell segmentation evaluation with annotated examples," APRS Workshop on Digital Image Computing, WDIC 2003, Brisbane, Australia, pp. 21-25, 2003.
    • (2003) APRS Workshop on Digital Image Computing, WDIC 2003 , pp. 21-25
    • Bamford, P.1
  • 4
    • 27544492894 scopus 로고    scopus 로고
    • A microscopic look at breast skin-line metrics: A performance evaluation strategy for FFDM/screen-film projection mammograms
    • February 16-18, Innsbruck, Austria, pp
    • Y. Sun, J. Suri, R.M. Rangayyan, and R. Janer, "A microscopic look at breast skin-line metrics: a performance evaluation strategy for FFDM/screen-film projection mammograms," The third IASTED International Conference on Biomedical Engineering, February 16-18, 2005, Innsbruck, Austria, pp 174-179.
    • (2005) The third IASTED International Conference on Biomedical Engineering , pp. 174-179
    • Sun, Y.1    Suri, J.2    Rangayyan, R.M.3    Janer, R.4
  • 12
    • 0031240184 scopus 로고    scopus 로고
    • A methodology for evaluation of boundary detection algorithms on medical images
    • V. Chalana and Y. Kim, "A methodology for evaluation of boundary detection algorithms on medical images," IEEE Transactions on Medical Imaging, Vol. 16, No. 5, pp. 642-652, 1997.
    • (1997) IEEE Transactions on Medical Imaging , vol.16 , Issue.5 , pp. 642-652
    • Chalana, V.1    Kim, Y.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.