메뉴 건너뛰기




Volumn 2005, Issue , 2005, Pages 491-496

Separation of white matter lesion from volumetric MR images using deformable models

Author keywords

Deformable Models; White matter lesions

Indexed keywords

ALGORITHMS; IMAGE PROCESSING; MAGNETIC RESONANCE IMAGING; MATHEMATICAL MODELS; TOMOGRAPHY;

EID: 33750152954     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICISIP.2005.1529504     Document Type: Conference Paper
Times cited : (1)

References (10)
  • 1
    • 0028724624 scopus 로고
    • Morphometric analysis of white matter lesions in MR images method and validation
    • A. P. Zijdenbos, B. M. Dawant, R. A. Margolin, and A. C. Palmer, "Morphometric Analysis of White Matter Lesions in MR Images Method and Validation'" , IEEE Trans. Med. Imag., vol. 13, 1994, pp. 716-724.
    • (1994) IEEE Trans. Med. Imag. , vol.13 , pp. 716-724
    • Zijdenbos, A.P.1    Dawant, B.M.2    Margolin, R.A.3    Palmer, A.C.4
  • 2
    • 0025435194 scopus 로고
    • Automatic detection of white matter lesions in magnetic resonance brain images
    • I. Kapouleas, "Automatic Detection of White Matter Lesions in Magnetic Resonance Brain Images" , Comput. Methods and programs in Biomed., vol. 32, 1990, pp. 17-35.
    • (1990) Comput. Methods and Programs in Biomed. , vol.32 , pp. 17-35
    • Kapouleas, I.1
  • 6
    • 84957073922 scopus 로고    scopus 로고
    • Segmentation of white matter lesions from volumetric MR images
    • Medical Image Computing and Computer-Assisted Intervention, Heidelberg Springer
    • S. A. Hojjatoleslami, F Kruggel, and D. Y. von Cramon, "Segmentation of White Matter Lesions from Volumetric MR images" , Medical Image Computing and Computer-Assisted Intervention, Lecture Notes in Computer Science, vol. 1679, pp. 52-61, Heidelberg Springer.
    • Lecture Notes in Computer Science , vol.1679 , pp. 52-61
    • Hojjatoleslami, S.A.1    Kruggel, F.2    Von Cramon, D.Y.3
  • 7
    • 0029377853 scopus 로고
    • Model-based 3-D segmentation of multiple sclerosis lesions in magnetic resonance brain images
    • M. Kamber, R. Shinghal, D. L. Collins, G. S. Francis, and A. C. Evans, "Model-Based 3-D Segmentation of Multiple Sclerosis Lesions in Magnetic Resonance Brain Images", IEEE Trans. Med. Imag., vol. 14, 1995, pp. 442-453.
    • (1995) IEEE Trans. Med. Imag. , vol.14 , pp. 442-453
    • Kamber, M.1    Shinghal, R.2    Collins, D.L.3    Francis, G.S.4    Evans, A.C.5
  • 9
    • 0036489378 scopus 로고    scopus 로고
    • Modified fuzzy C-means algorithm for bias field estimation and segmentation of MRI data
    • M. N. Ahmed, S. M. Yamany, N. Mohamed, A. A. Farag and T. Moriarty, "Modified Fuzzy C-Means Algorithm for Bias Field Estimation and Segmentation of MRI Data" , IEEE Trans. Med. Imag., vol. 21, 2002, pp. 193-199.
    • (2002) IEEE Trans. Med. Imag. , vol.21 , pp. 193-199
    • Ahmed, M.N.1    Yamany, S.M.2    Mohamed, N.3    Farag, A.A.4    Moriarty, T.5


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.