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Volumn 3315, Issue , 2004, Pages 636-645

Kernel based method for segmentation and modeling of magnetic resonance images

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; AUTOMATION; DATA REDUCTION; FEATURE EXTRACTION; FUZZY CONTROL; MAGNETIC RESONANCE IMAGING; MEDICAL IMAGING; NEUROLOGY; VISUALIZATION; ARTIFICIAL INTELLIGENCE; BRAIN; DATA VISUALIZATION; IMAGE SEGMENTATION; MAGNETIC RESONANCE;

EID: 22944435196     PISSN: 03029743     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1007/978-3-540-30498-2_64     Document Type: Conference Paper
Times cited : (21)

References (11)
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    • 1 -weighted volume mri scans of the head, and its application to serial cerebral and intracranial volumetry
    • 1 -weighted volume mri scans of the head, and its application to serial cerebral and intracranial volumetry. Magetic Resonance in Medicine 49 (2003) 872-884
    • (2003) Magetic Resonance in Medicine , vol.49 , pp. 872-884
    • Lemieux, L.1    Hammers, A.2    Mackinnon, T.3    Liu, R.4
  • 3
    • 17144402966 scopus 로고    scopus 로고
    • Anatomical guided segmentation with non-stationary tissue class distibutions in an expectation-maximization framework
    • Pohl, K., Grimson, W., Bouix, S., Kikinis, R.: Anatomical guided segmentation with non-stationary tissue class distibutions in an expectation-maximization framework. IEEE International Symposium on Biomedical Imaging (2004) 81-84
    • (2004) IEEE International Symposium on Biomedical Imaging , pp. 81-84
    • Pohl, K.1    Grimson, W.2    Bouix, S.3    Kikinis, R.4
  • 4
    • 0000759079 scopus 로고
    • The adatron - An adaptive perceptron algorithm
    • Anlauf, J., Biehl, M.: The adatron - an adaptive perceptron algorithm. Europhysics Letters 10 (1989) 687-692
    • (1989) Europhysics Letters , vol.10 , pp. 687-692
    • Anlauf, J.1    Biehl, M.2
  • 8
    • 22944433646 scopus 로고    scopus 로고
    • Application of learning machine methods to 3d object modeling
    • Grijalbo, A., Clavijo, J., eds. Springer-Verlag, Berlin
    • Garcia, C., Moreno, J.: Application of learning machine methods to 3d object modeling. In Grijalbo, A., Clavijo, J., eds.: Advances in Artificial Inteligence - IBERAMIA 2002. Springer-Verlag, Berlin (2002) 453-462
    • (2002) Advances in Artificial Inteligence - IBERAMIA 2002 , pp. 453-462
    • Garcia, C.1    Moreno, J.2
  • 9
    • 17144405689 scopus 로고    scopus 로고
    • Application of support vector clustering to the visualization of medical images
    • Garcia, C., Moreno, J.: Application of support vector clustering to the visualization of medical images. IEEE International Symposium on Biomedical Imaging (2004) 1553-1556
    • (2004) IEEE International Symposium on Biomedical Imaging , pp. 1553-1556
    • Garcia, C.1    Moreno, J.2
  • 11
    • 0003120218 scopus 로고    scopus 로고
    • Fast training of support vector machines using sequential minimal optimization
    • Scholkopf, B., Burges, J., Smola, A., eds. MIT Press, Cambridge, MA
    • Platt, J.: Fast training of support vector machines using sequential minimal optimization. In Scholkopf, B., Burges, J., Smola, A., eds.: Advances in Kernel Methods - Support Vector Learning. MIT Press, Cambridge, MA (1999) 185-208
    • (1999) Advances in Kernel Methods - Support Vector Learning , pp. 185-208
    • Platt, J.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.