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Volumn 33, Issue 2, 2011, Pages 128-135

Performance evaluation of a region growing procedure for mammographic breast lesion identification

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER AIDED DIAGNOSIS; DIAGNOSIS; DISEASES;

EID: 78649970166     PISSN: 09205489     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.csi.2010.06.003     Document Type: Article
Times cited : (25)

References (22)
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    • Fact Sheet No. 297: Cancer
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    • Mammographic images enhancement and denoising for detection of tumoral signs using dyadic wavelet processing
    • A. Mencattini, M. Salmeri, R. Lojacono, M. Frigerio, and F. Caselli Mammographic images enhancement and denoising for detection of tumoral signs using dyadic wavelet processing IEEE Trans. Instrum. Meas. 57, n. 7 Jul 2008 1422 1430
    • (2008) IEEE Trans. Instrum. Meas. , vol.577 , pp. 1422-1430
    • Mencattini, A.1    Salmeri, M.2    Lojacono, R.3    Frigerio, M.4    Caselli, F.5
  • 5
    • 0035216726 scopus 로고    scopus 로고
    • Effectiveness and cost-effectiveness of double reading of mammograms in breast cancer screening: Findings of a systematic review
    • J. Dinnes, S. Moss, J. Melia, R. Blanks, F. Song, and J. Kleijnen Effectiveness and cost-effectiveness of double reading of mammograms in breast cancer screening: Findings of a systematic review Breast 10 2001 455 463
    • (2001) Breast , vol.10 , pp. 455-463
    • Dinnes, J.1    Moss, S.2    Melia, J.3    Blanks, R.4    Song, F.5    Kleijnen, J.6
  • 12
    • 57049165971 scopus 로고    scopus 로고
    • Breast mass segmentation in mammographic images by an effective region growing algorithm
    • Springer-Verlag
    • A. Mencattini, G. Rabottino, M. Salmeri, R. Lojacono, and E. Colini Breast mass segmentation in mammographic images by an effective region growing algorithm Lecture Notes on Computer Science Vol. 5259 October 2008 Springer-Verlag 948 957
    • (2008) Lecture Notes on Computer Science , vol.5259 , pp. 948-957
    • Mencattini, A.1    Rabottino, G.2    Salmeri, M.3    Lojacono, R.4    Colini, E.5
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    • A wavelet-based spatially adaptive method for mammographic contrast enhancement
    • P. Sakellaropoulos, L. Costaridou, and G. Panayiotakis A wavelet-based spatially adaptive method for mammographic contrast enhancement Phys. Med. Biol. 48 2003 787 803
    • (2003) Phys. Med. Biol. , vol.48 , pp. 787-803
    • Sakellaropoulos, P.1    Costaridou, L.2    Panayiotakis, G.3
  • 16
    • 0031283413 scopus 로고    scopus 로고
    • Fractal modeling and segmentation for the enhancement of microcalcifications in digital mammograms
    • H. Li, K. Liu, and S. Lo Fractal modeling and segmentation for the enhancement of microcalcifications in digital mammograms IEEE Trans. Med. Imaging 16 6 1997 785 798
    • (1997) IEEE Trans. Med. Imaging , vol.16 , Issue.6 , pp. 785-798
    • Li, H.1    Liu, K.2    Lo, S.3
  • 19
    • 85043038461 scopus 로고    scopus 로고
    • University of South Florida. University of South Florida digital mammography home page, 2000
    • University of South Florida. University of South Florida digital mammography home page, 2000.
  • 21
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    • Computerized radiographic mass detection - Part II: Decision support by featured database visualization and neural networks
    • H. Li, Y. Wang, K.J. Ray Liu, S.B. Lo, and M.T. Freedman Computerized radiographic mass detection - part II: decision support by featured database visualization and neural networks IEEE Trans. Med. Imag. 204 4 2001 302 313
    • (2001) IEEE Trans. Med. Imag. , vol.204 , Issue.4 , pp. 302-313
    • Li, H.1    Wang, Y.2    Ray Liu, K.J.3    Lo, S.B.4    Freedman, M.T.5


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.