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Volumn 2652, Issue , 2003, Pages 478-485

Active region segmentation of mammographic masses based on texture, contour and shape features

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; CONTENT BASED RETRIEVAL; MAMMOGRAPHY; PATTERN RECOGNITION; PIXELS;

EID: 35248858007     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-44871-6_56     Document Type: Review
Times cited : (11)

References (16)
  • 7
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    • Computer-aided characterization of mammographic masses: Accuracy of mass segmentation and its effects on characterization
    • December
    • B. Sahiner, N. Petrick, H. Chan, L. M. Hadjiiski, C. Paramagul, M. A. Helvie, and M. N. Gurcan. Computer-aided characterization of mammographic masses: Accuracy of mass segmentation and its effects on characterization. IEEE Transactions on Medical Imaging, 20(12):1275-1284, December 2001.
    • (2001) IEEE Transactions on Medical Imaging , vol.20 , Issue.12 , pp. 1275-1284
    • Sahiner, B.1    Petrick, N.2    Chan, H.3    Hadjiiski, L.M.4    Paramagul, C.5    Helvie, M.A.6    Gurcan, M.N.7
  • 8
    • 0027850153 scopus 로고
    • Classifying mammographic lesions using computer-aided image analysis
    • December
    • J. Kilday, F. Palmieri, and M. D. Fox. Classifying mammographic lesions using computer-aided image analysis. IEEE Transactions on Medical Imaging, 12:664-669, December 1993.
    • (1993) IEEE Transactions on Medical Imaging , vol.12 , pp. 664-669
    • Kilday, J.1    Palmieri, F.2    Fox, M.D.3
  • 11
    • 0027512684 scopus 로고
    • Artificial neural networks in mammography: Application to decision making in the diagnosis of breast cancer
    • Y. Wu, M. L. Giger, K. Doi, C. J. Vyborny, R. A. Schmidt, and C. E. Metz. Artificial neural networks in mammography: application to decision making in the diagnosis of breast cancer. Radiology, 187(1):81-87, 1993.
    • (1993) Radiology , vol.187 , Issue.1 , pp. 81-87
    • Wu, Y.1    Giger, M.L.2    Doi, K.3    Vyborny, C.J.4    Schmidt, R.A.5    Metz, C.E.6
  • 12
    • 0030411033 scopus 로고    scopus 로고
    • Deformable boundary finding in medical images by integrating gradient and region information
    • A. Chakraborty, L. H. Staib, and J. S. Duncan. Deformable boundary finding in medical images by integrating gradient and region information. IEEE Transactions on Medical Imaging, 15:859-870, 1996.
    • (1996) IEEE Transactions on Medical Imaging , vol.15 , pp. 859-870
    • Chakraborty, A.1    Staib, L.H.2    Duncan, J.S.3
  • 13
    • 0142139627 scopus 로고    scopus 로고
    • Maximum a posteriori segmentation for medical visualization
    • Santa Barbara, California, June
    • L. S. Hibbard. Maximum a posteriori segmentation for medical visualization. In IEEE Workshop on Biomedical Image Analysis, pages 93-102, Santa Barbara, California, June 1998.
    • (1998) IEEE Workshop on Biomedical Image Analysis , pp. 93-102
    • Hibbard, L.S.1
  • 15
    • 0001653457 scopus 로고    scopus 로고
    • Statistical methods in psychology journals
    • L. Wilkinson. Statistical methods in psychology journals. American Psychologist, 54(8):594-604, 1999.
    • (1999) American Psychologist , vol.54 , Issue.8 , pp. 594-604
    • Wilkinson, L.1
  • 16
    • 0030247213 scopus 로고    scopus 로고
    • Region competition: Unifying snakes, region growing, and bayes/mdl for multi-band image segmentation
    • September
    • S. C. Zhu and A. Yuille. Region competition: Unifying snakes, region growing, and bayes/mdl for multi-band image segmentation. IEEE Transactions on Pattern Analysis and Machine Intelligence, 18(9):884-900, September 1996.
    • (1996) IEEE Transactions on Pattern Analysis and Machine Intelligence , vol.18 , Issue.9 , pp. 884-900
    • Zhu, S.C.1    Yuille, A.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.