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Volumn 3217, Issue 1 PART 2, 2004, Pages 916-924

Independent component analysis of four-phase abdominal CT images

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; COMPUTER AIDED DIAGNOSIS; ELECTROCARDIOGRAPHY; ELECTROENCEPHALOGRAPHY; IMAGE PROCESSING; MAGNETIC RESONANCE IMAGING; MEDICAL IMAGING; COMPUTER AIDED ANALYSIS; DIAGNOSIS; IMAGE ANALYSIS; INDEPENDENT COMPONENT ANALYSIS; MEDICAL COMPUTING; MEDICAL IMAGE PROCESSING; MIXTURES;

EID: 20344377152     PISSN: 03029743     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1007/978-3-540-30136-3_111     Document Type: Conference Paper
Times cited : (14)

References (10)
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    • Jan.
    • R.A. Choudrey and S.J. Roberts, "Variational mixture of Bayesian independent component analyzers," Neural Computation, vol. 15(1), Jan. 2003.
    • (2003) Neural Computation , vol.15 , Issue.1
    • Choudrey, R.A.1    Roberts, S.J.2
  • 2
    • 0036504424 scopus 로고    scopus 로고
    • Upsupervised image classification, segmentation, and enhancement using ICA mixture models
    • March
    • T.W. Lee, M.S. Lewicki, "Upsupervised image classification, segmentation, and enhancement using ICA mixture models," IEEE Trans. on Image Processing, vol. 11, No. 3, March 2002.
    • (2002) IEEE Trans. on Image Processing , vol.11 , Issue.3
    • Lee, T.W.1    Lewicki, M.S.2
  • 4
    • 0033556834 scopus 로고    scopus 로고
    • Independent component analysis using an extended infomax algorithm for mixed sub-Gaussian and super-Gaussian sources
    • T.W. Lee, M. Girolami, and T.J. Sejnowski, "Independent component analysis using an extended infomax algorithm for mixed sub-Gaussian and super-Gaussian sources," Neural Computation, vol. 11, no. 2, pp.409-4333, 1999.
    • (1999) Neural Computation , vol.11 , Issue.2 , pp. 409-4333
    • Lee, T.W.1    Girolami, M.2    Sejnowski, T.J.3
  • 5
    • 0042685161 scopus 로고    scopus 로고
    • Bayesian parameter estimation via variational methods
    • T. Jaakkola and M. Jordan, "Bayesian parameter estimation via variational methods," Statistics and Computing, vol. 10, pp. 25-37, 2000.
    • (2000) Statistics and Computing , vol.10 , pp. 25-37
    • Jaakkola, T.1    Jordan, M.2
  • 7
    • 10444290312 scopus 로고    scopus 로고
    • Development of a liver extraction method using a level set method and its performance evaluation
    • Jun. in Japanese
    • T. Hitosugi, A. Shimizu, M. Tamura, and H. Kobatake, "Development of a liver extraction method using a level set method and its performance evaluation," Journal of Computer Aided Diagnosis of Medical Images, vol. 7, No. 4-2, Jun. 2003 (in Japanese).
    • (2003) Journal of Computer Aided Diagnosis of Medical Images , vol.7 , Issue.2-4
    • Hitosugi, T.1    Shimizu, A.2    Tamura, M.3    Kobatake, H.4
  • 8
    • 0032028944 scopus 로고    scopus 로고
    • Snakes, shapes, and gradient vector flow
    • Mar.
    • C. Xu and J. L. Prince, "Snakes, shapes, and gradient vector flow," IEEE Trans. on Image Processing, 7(3), pp. 359-369, Mar. 1998.
    • (1998) IEEE Trans. on Image Processing , vol.7 , Issue.3 , pp. 359-369
    • Xu, C.1    Prince, J.L.2
  • 10
    • 10444283798 scopus 로고    scopus 로고
    • Evaluation of SN ratio of lung tumors in maximum intensity projection images and mean intensity projection images
    • Mar. in Japanese
    • Y. Okada, A. Shimizu, H. Kobatake, J. Hasegawa, and J. Toriwaki, "Evaluation of SN ratio of lung tumors in maximum intensity projection images and mean intensity projection images," Medical Imaging Technology. Vol. 21, No. 2, pp. 139-146, Mar. 2003 (in Japanese).
    • (2003) Medical Imaging Technology , vol.21 , Issue.2 , pp. 139-146
    • Okada, Y.1    Shimizu, A.2    Kobatake, H.3    Hasegawa, J.4    Toriwaki, J.5


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.