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Volumn 14, Issue 3, 1995, Pages 565-576

Markov Random Field for Tumor Detection in Digital Mammography

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; COMPUTER AIDED DIAGNOSIS; COMPUTER SYSTEMS; DISEASES; FEATURE EXTRACTION; FUZZY SETS; IMAGE ANALYSIS; IMAGE SEGMENTATION; MARKOV PROCESSES; MATHEMATICAL MODELS; SENSITIVITY ANALYSIS; TREES (MATHEMATICS);

EID: 0029376019     PISSN: 02780062     EISSN: 1558254X     Source Type: Journal    
DOI: 10.1109/42.414622     Document Type: Article
Times cited : (225)

References (32)
  • 1
    • 84936901191 scopus 로고
    • Tree-structured nonlinear filter and wavelet transform for microcalcification segmentation in mammography
    • W. Qian, L. P. Clarke, M. Kallergi, H. D. Li, R. P. Velthuizen, and R. A. Clark, “Tree-structured nonlinear filter and wavelet transform for microcalcification segmentation in mammography,” in Proc. SPIE, vol. 1905, pp. 509–520, 1993.
    • (1993) Proc. SPIE , vol.1905 , pp. 509-520
    • Qian, W.1    Clarke, L.P.2    Kallergi, M.3    Li, H.D.4    Velthuizen, R.P.5    Clark, R.A.6
  • 2
    • 0022689752 scopus 로고
    • Enhancement of mammographic features by optimal adaptive neighborhood image processing
    • A. P. Dhawan, G. Buelloni, and R. Gordon, “Enhancement of mammographic features by optimal adaptive neighborhood image processing,” IEEE Trans. Med. Imag., vol. MI-5, no. 1, pp. 8–12, 1986.
    • (1986) IEEE Trans. Med. Imag. , vol.MI-5 , Issue.1 , pp. 8-12
    • Dhawan, A.P.1    Buelloni, G.2    Gordon, R.3
  • 3
    • 0000705511 scopus 로고
    • Stochastic model for automated detection of calcifications in digital mammograms
    • N. Karssemeijer, “Stochastic model for automated detection of calcifications in digital mammograms,” Image Vision Computing, vol. 10, no. 6, pp. 370–375, 1992.
    • (1992) Image Vision Computing , vol.10 , Issue.6 , pp. 370-375
    • Karssemeijer, N.1
  • 4
    • 0023501052 scopus 로고
    • Image feature analysis and computer-aided diagnosis in digital radiography. I. Automated detection of microcalcifications in mammography
    • H.-P. Chan, K. Doi, S. Galhotra, C. J. Vyborny, H. MacMahon, and P. M. Jokich, “Image feature analysis and computer-aided diagnosis in digital radiography. I. Automated detection of microcalcifications in mammography,” Med. Phys., vol. 14, no. 4, pp. 538–548, 1987.
    • (1987) Med. Phys. , vol.14 , Issue.4 , pp. 538-548
    • Chan, H.-P.1    Doi, K.2    Galhotra, S.3    Vyborny, C.J.4    MacMahon, H.5    Jokich, P.M.6
  • 5
    • 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, vol. 187, pp. 81–87, 1993.
    • (1993) Radiology , vol.187 , 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
  • 6
    • 0027817379 scopus 로고
    • Comparison of bilateral-subtraction and single-image processing techniques in the computerized detection of mammographic masses
    • F.-F. Yin, M. L. Giger, C. J. Vyborny, K. Doi, and R. A. Schmidt, “Comparison of bilateral-subtraction and single-image processing techniques in the computerized detection of mammographic masses,” Invest. Radiology, vol. 28, no. 6, pp. 473–481, 1993.
    • (1993) Invest. Radiology , vol.28 , Issue.6 , pp. 473-481
    • Yin, F.-F.1    Giger, M.L.2    Vyborny, C.J.3    Doi, K.4    Schmidt, R.A.5
  • 7
    • 0025482299 scopus 로고
    • An approach to automated detection of tumors in mammograms
    • D. Brzakovic, X. M. Luo, and P. Brzakovic, “An approach to automated detection of tumors in mammograms,” IEEE Trans. Med. Imag., vol. 9, no. 3, pp. 233–241, 1990.
    • (1990) IEEE Trans. Med. Imag. , vol.9 , Issue.3 , pp. 233-241
    • Brzakovic, D.1    Luo, X.M.2    Brzakovic, P.3
  • 8
    • 0024944225 scopus 로고
    • On techniques for detecting circumscribed masses in mammograms
    • S. M. Lai, X. Li, and W. F. Bischof, “On techniques for detecting circumscribed masses in mammograms,” IEEE Trans. Med. Imag., vol. 8, no. 4, pp. 377–386, 1989.
    • (1989) IEEE Trans. Med. Imag. , vol.8 , Issue.4 , pp. 377-386
    • Lai, S.M.1    Li, X.2    Bischof, W.F.3
  • 9
    • 84935408405 scopus 로고
    • Computer detection of stellate lesions in mammograms
    • W. P. Kegelmeyer, “Computer detection of stellate lesions in mammograms,” in Proc. SPIE, vol. 1905, pp. 787–798, 1993.
    • (1993) Proc. SPIE , vol.1905 , pp. 787-798
    • Kegelmeyer, W.P.1
  • 12
    • 20444440880 scopus 로고
    • Random field models in image analysis
    • R. C. Dubes and A. K. Jain, “Random field models in image analysis,” J. Applied Stat., vol. 16, no. 2, pp. 131–164, 1989.
    • (1989) J. Applied Stat. , vol.16 , Issue.2 , pp. 131-164
    • Dubes, R.C.1    Jain, A.K.2
  • 13
    • 0026842556 scopus 로고
    • An adaptive clustering algorithm for image segmentation
    • T. N. Pappas, “An adaptive clustering algorithm for image segmentation,” IEEE Trans. Signal Processing, vol. 40, no. 4, pp. 902–914, 1992.
    • (1992) IEEE Trans. Signal Processing , vol.40 , Issue.4 , pp. 902-914
    • Pappas, T.N.1
  • 15
    • 0021518209 scopus 로고
    • Stochastic relaxation, Gibbs distributions, and Bayesian restoration of images
    • S. Geman and D. Geman, “Stochastic relaxation, Gibbs distributions, and Bayesian restoration of images,” IEEE Trans. Pattern Anal. Machine Intell., vol. PAMI-6, pp. 721–741, 1984.
    • (1984) IEEE Trans. Pattern Anal. Machine Intell. , vol.PAMI-6 , pp. 721-741
    • Geman, S.1    Geman, D.2
  • 16
    • 0000013152 scopus 로고
    • On the statistical analysis of dirty pictures
    • J. Besag, “On the statistical analysis of dirty pictures,” J. Roy. Stat. Soc., Ser. B, vol. 48, no. 3, pp. 259–302, 1986.
    • (1986) J. Roy. Stat. Soc., Ser. B , vol.48 , Issue.3 , pp. 259-302
    • Besag, J.1
  • 17
    • 0000913755 scopus 로고
    • Spatial interaction and the statistical analysis of lattice systems
    • J. Besag, “Spatial interaction and the statistical analysis of lattice systems,” J. Roy. Stat. Soc., Ser. B, vol. 26, no. 2, pp. 192–236, 1974.
    • (1974) J. Roy. Stat. Soc., Ser. B , vol.26 , Issue.2 , pp. 192-236
    • Besag, J.1
  • 18
    • 0023123263 scopus 로고
    • Modeling and segmentation of noisy and textured images using Gibbs random fields
    • Jan.
    • H. Derin and H. Elliott, “Modeling and segmentation of noisy and textured images using Gibbs random fields,” IEEE Trans. Pattern Anal. Machine Intell., vol. PAMI-9, no. 1, pp. 39–55, Jan. 1987.
    • (1987) IEEE Trans. Pattern Anal. Machine Intell. , vol.PAMI-9 , Issue.1 , pp. 39-55
    • Derin, H.1    Elliott, H.2
  • 19
    • 0025530935 scopus 로고
    • MRF model-based algorithms for image segmentation
    • R. C. Dubes, A. K. Jain, S. G. Nadabar, and C. C. Chen, “MRF model-based algorithms for image segmentation,” in Proc. ICCAS, 1990, pp. 808–814.
    • (1990) Proc. ICCAS , pp. 808-814
    • Dubes, R.C.1    Jain, A.K.2    Nadabar, S.G.3    Chen, C.C.4
  • 20
    • 0026104394 scopus 로고
    • Multiple resolution segmentation of textured images
    • C. Bouman and B. Liu, “Multiple resolution segmentation of textured images,” IEEE Trans. Pattern Anal. Machine Intell., vol. 13, no. 2, pp. 99–113, 1991.
    • (1991) IEEE Trans. Pattern Anal. Machine Intell. , vol.13 , Issue.2 , pp. 99-113
    • Bouman, C.1    Liu, B.2
  • 21
    • 84950881632 scopus 로고
    • Probabilistic solution of illposed problems in computational vision
    • J. Marroquin, S. Miter, and T. Poggio, “Probabilistic solution of illposed problems in computational vision,” J. Amer. Stat. Assn., vol. 82, pp. 76–89, 1987.
    • (1987) J. Amer. Stat. Assn. , vol.82 , pp. 76-89
    • Marroquin, J.1    Miter, S.2    Poggio, T.3
  • 22
    • 0019554871 scopus 로고
    • A segmentation system based on thresholding
    • R. Kohler, “A segmentation system based on thresholding,” CGIP, vol. 15, pp. 319–338, 1981.
    • (1981) CGIP , vol.15 , pp. 319-338
    • Kohler, R.1
  • 23
    • 0026926790 scopus 로고
    • Image segmentation in digital mammography: Comparison of local thresholding and region growing algorithms
    • M. Kallergi, K. Woods, L. P. Clarke, W. Qian, and R. A. Clark, “Image segmentation in digital mammography: Comparison of local thresholding and region growing algorithms,” Comput. Med. Imag. Graphics, vol. 16, no. 5, pp. 323–331, 1992.
    • (1992) Comput. Med. Imag. Graphics , vol.16 , Issue.5 , pp. 323-331
    • Kallergi, M.1    Woods, K.2    Clarke, L.P.3    Qian, W.4    Clark, R.A.5
  • 25
    • 0026105482 scopus 로고
    • An iterative growing and pruning algorithm for classification tree design
    • S. B. Gelfand, C. S. Ravishankar, and E. J. Delp, “An iterative growing and pruning algorithm for classification tree design,” IEEE Trans. Pattern Anal. Machine Intell., vol. 13, no. 12, pp. 163–174, 1991.
    • (1991) IEEE Trans. Pattern Anal. Machine Intell. , vol.13 , Issue.12 , pp. 163-174
    • Gelfand, S.B.1    Ravishankar, C.S.2    Delp, E.J.3
  • 27
    • 0027275316 scopus 로고
    • Review of MR image segmentation techniques using pattern recognition
    • J. C. Bezdek, L. O. Hall, and L. P. Clarke, “Review of MR image segmentation techniques using pattern recognition,” Med. Phys., vol. 20, no. 4, pp. 1033–1048, 1993.
    • (1993) Med. Phys. , vol.20 , Issue.4 , pp. 1033-1048
    • Bezdek, J.C.1    Hall, L.O.2    Clarke, L.P.3
  • 28
    • 0022174716 scopus 로고
    • Fuzzy set theoretic approach to scene analysis
    • M. M. Gupta, A. Kandel, W. Bandler, and J. B. Kiszka, Eds. New York: North-Holland
    • B. N. Chatterji, “Fuzzy set theoretic approach to scene analysis,” in Approximate Reasoning in Expert Systems, M. M. Gupta, A. Kandel, W. Bandler, and J. B. Kiszka, Eds. New York: North-Holland, 1985.
    • (1985) Approximate Reasoning in Expert Systems
    • Chatterji, B.N.1
  • 29
    • 0025269074 scopus 로고
    • Free-response methodology: Alternate analysis and a new observer-performance experiment
    • D. P. Chakraborty and L. H. L. Winter, “Free-response methodology: Alternate analysis and a new observer-performance experiment,” Radiology, vol. 174, pp. 873–881, 1990.
    • (1990) Radiology , vol.174 , pp. 873-881
    • Chakraborty, D.P.1    Winter, L.H.L.2
  • 30
    • 0018444015 scopus 로고
    • Report of the working group to review the National Cancer Institute-American Cancer Society breast cancer detection demonstration projects
    • O. H. Beahrs, S. Shapiro, and C. Smart, “Report of the working group to review the National Cancer Institute-American Cancer Society breast cancer detection demonstration projects,” J. Nat. Cancer Inst., vol. 62, pp. 640–709, 1979.
    • (1979) J. Nat. Cancer Inst. , vol.62 , pp. 640-709
    • Beahrs, O.H.1    Shapiro, S.2    Smart, C.3
  • 31
    • 0028396732 scopus 로고
    • Tree-structured nonlinear filters in digital mammography
    • W. Qian, L. P. Clarke, M. Kallergi, and R. A. Clark, “Tree-structured nonlinear filters in digital mammography,” IEEE Trans. Med. Imag., vol. 13, no. 1, pp. 25–36, 1994.
    • (1994) IEEE Trans. Med. Imag. , vol.13 , Issue.1 , pp. 25-36
    • Qian, W.1    Clarke, L.P.2    Kallergi, M.3    Clark, R.A.4
  • 32
    • 0027983046 scopus 로고
    • Effect of case selection on the performance of computer-aided detection schemes
    • R. M. Nishikawa, M. L. Giger, K. Doi, C. E. Metz, F.-F. Yin, C. J. Vyborny, and R. A. Schmidt, “Effect of case selection on the performance of computer-aided detection schemes,” Med. Phys., vol. 21, no. 2, pp. 265–269, 1994.
    • (1994) Med. Phys. , vol.21 , Issue.2 , pp. 265-269
    • Nishikawa, R.M.1    Giger, M.L.2    Doi, K.3    Metz, C.E.4    Yin, F.-F.5    Vyborny, C.J.6    Schmidt, R.A.7


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.