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Volumn 3765 LNCS, Issue , 2005, Pages 160-169

A novel unsupervised segmentation method for MR brain images based on fuzzy methods

Author keywords

[No Author keywords available]

Indexed keywords

BRAIN; COMPUTER SIMULATION; FUZZY SETS; MAGNETIC RESONANCE IMAGING; MEDICAL IMAGING; NEUROLOGY;

EID: 33646702577     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11569541_17     Document Type: Conference Paper
Times cited : (11)

References (11)
  • 1
    • 4544359339 scopus 로고    scopus 로고
    • Fuzzy connectedness and imaging segmentation
    • Udupa, J.K., Saha, P.K.: Fuzzy Connectedness and Imaging Segmentation. Proceedings of The IEEE. Vol.91, No.10, pp: 1649-1669, 2003
    • (2003) Proceedings of the IEEE , vol.91 , Issue.10 , pp. 1649-1669
    • Udupa, J.K.1    Saha, P.K.2
  • 2
    • 0034141034 scopus 로고    scopus 로고
    • Scale-based fuzzy connected image segmentation: Theory, algorithms, and validation
    • Saha, P.K., Udupa, J.K. and Odhner, D.: Scale-based fuzzy connected image segmentation: Theory, algorithms, and validation. Computer Vision and Image Understanding. Vol.77, pp: 145-174, 2000
    • (2000) Computer Vision and Image Understanding , vol.77 , pp. 145-174
    • Saha, P.K.1    Udupa, J.K.2    Odhner, D.3
  • 3
    • 0015644825 scopus 로고
    • A fuzzy relative of the ISODATA process and its use in detecting compact well-separated clusters
    • Dunn, J.C. A Fuzzy Relative of the ISODATA Process and Its Use in Detecting Compact Well-Separated Clusters. Journal of Cybernetics. Vol.3, pp: 32, 1973
    • (1973) Journal of Cybernetics , vol.3 , pp. 32
    • Dunn, J.C.1
  • 5
    • 0032843554 scopus 로고    scopus 로고
    • An adaptive fuzzy C-means algorithm for image segmentation in the presence of intensity inhomogeneities
    • Pham, D.L., Prince, J.L.: An Adaptive Fuzzy C-Means Algorithm for Image Segmentation in the Presence of Intensity Inhomogeneities. Pattern Recognition Letters. Vol.20, No.1, pp: 57-68, 1999.
    • (1999) Pattern Recognition Letters , vol.20 , Issue.1 , pp. 57-68
    • Pham, D.L.1    Prince, J.L.2
  • 6
    • 0001996435 scopus 로고
    • Fuzzy digital topology
    • Rosenfeld, A. Fuzzy digital topology. Information and Control. Vol.40, No.1, pp: 76, 1979
    • (1979) Information and Control , vol.40 , Issue.1 , pp. 76
    • Rosenfeld, A.1
  • 7
    • 0030145389 scopus 로고
    • Fuzzy connectedness and object definition: Theory, algorithms, and applications in image segmentation
    • Udupa, J.K. Samarasekera, S. Fuzzy Connectedness and Object Definition: Theory, Algorithms, and Applications in Image Segmentation. Graphical Model and Image Processing. Vol.58, No.3, pp: 246, 1995
    • (1995) Graphical Model and Image Processing , vol.58 , Issue.3 , pp. 246
    • Udupa, J.K.1    Samarasekera, S.2
  • 8
    • 0344374438 scopus 로고    scopus 로고
    • On standardizing the MR image intensity scale
    • Nyul, L.G., Udupa, J.K.: On standardizing the MR image intensity scale. Magn Reson Med. Vol.42, pp: 1072-1081, 1999
    • (1999) Magn Reson Med. , vol.42 , pp. 1072-1081
    • Nyul, L.G.1    Udupa, J.K.2
  • 11
    • 21544432712 scopus 로고
    • Brainweb: Online interface to a 3D MRI simulated brain database
    • Cocosco, C.A., Kollokian, V., Kwan, R.K.-S., Evans, A.C.: BrainWeb: Online Interface to a 3D MRI Simulated Brain Database. NeuroImage. Vol.5, No.4, pp: part 2/4, S425, 1994
    • (1994) NeuroImage , vol.5 , Issue.4 PART 2-4
    • Cocosco, C.A.1    Kollokian, V.2    Kwan, R.K.-S.3    Evans, A.C.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.