Unsupervised regularized classification of multi-spectral MRI

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 1131, Issue , 1996, Pages 229-234

  Vandermeulen, D ^a   Descombes, X ^a   Suetens, P ^a   Marchal, G ^a  

^a UNIVERSITY HOSPITALS LEUVEN   (Belgium)

Author keywords

[No Author keywords available]

Indexed keywords

MAGNETORHEOLOGICAL FLUIDS; SPECTROSCOPIC ANALYSIS; STRUCTURAL FRAMES; VISUALIZATION;

AUTOMATIC CLASSIFICATION; FINE STRUCTURES; MINIMUM DESCRIPTION LENGTH; NOVEL CLUSTERING; NUMBER OF CLASS; NUMBER OF DATUM; OVERLAPPING COMPONENTS; WORK IN PROGRESS;

CLUSTER ANALYSIS;

EID: 84947785087     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/bfb0046958     Document Type: Conference Paper

References (6)

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3. Z. Liang, R.J. Jaszczak, R.E. Coleman. Parameter estimation of finite mixtures using the EM algorithm nad information criteria with application to medical image processing. IEEE Trans. on Nuclear Science, 39:1126-1133, 1992.
4. A. Goshtasby, W.D. O'Neill. Curve fitting by a sum of Gaussians. CVGIP: Graphical Models and Image Processing, 56(4):281-288, 1994.
5. X. Descombes, J.F. Mangin, E. Pechersky, M. Sigelle. Fine structures preserving model for image processing. In Proc. 9th SCIA 95 Uppsala, Sweden, pages 349-356, 1995.
6. D. Vandermeulen, X. Descombes, P. Suetens, and G. Marchal. Unsupervised Regularized Classification of Multi-Spectral MRI. Technical Report KUL/ESAT/MI2/9608, ESAT/MI2, Katholieke Universiteit Leuven, February 1996.